diff --git a/agent-evolution/archive/index.standalone-2026-05-25.html b/agent-evolution/archive/index.standalone-2026-05-25.html
new file mode 100644
index 0000000..0575929
--- /dev/null
+++ b/agent-evolution/archive/index.standalone-2026-05-25.html
@@ -0,0 +1,6803 @@
+<!DOCTYPE html>
+<html lang="ru">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>APAW Agent Evolution Dashboard</title>
+    <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=Inter:wght@300;400;500;600;700;800&display=swap" rel="stylesheet">
+    <script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.7/dist/chart.umd.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-datalabels@2.2.0"></script>
+    <style>
+        :root {
+            --bg-deep: #0a0f1a;
+            --bg-panel: #0f1525;
+            --bg-card: #141c2e;
+            --bg-card-hover: #1a2540;
+            --border: #1e2d45;
+            --border-bright: #2a4060;
+            --text-primary: #e8f1ff;
+            --text-secondary: #8ba3c0;
+            --text-muted: #5a7090;
+            --accent-cyan: #00d4ff;
+            --accent-green: #00ff94;
+            --accent-orange: #ff9f43;
+            --accent-red: #ff4757;
+            --accent-purple: #a855f7;
+            --accent-blue: #3b82f6;
+            --accent-yellow: #facc15;
+            --glow-cyan: rgba(0,212,255,0.15);
+            --glow-green: rgba(0,255,148,0.1);
+            --glow-purple: rgba(168,85,247,0.1);
+        }
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        body {
+            font-family: 'Inter', sans-serif;
+            background: var(--bg-deep);
+            color: var(--text-primary);
+            min-height: 100vh;
+        }
+        body::before {
+            content: '';
+            position: fixed;
+            inset: 0;
+            background: 
+                radial-gradient(ellipse at 20% 20%, rgba(0,212,255,0.08) 0%, transparent 50%),
+                radial-gradient(ellipse at 80% 80%, rgba(168,85,247,0.06) 0%, transparent 50%);
+            pointer-events: none;
+            z-index: 0;
+        }
+        .container {
+            max-width: 1600px;
+            margin: 0 auto;
+            padding: 24px 16px;
+            position: relative;
+            z-index: 1;
+        }
+
+        /* Header */
+        .header { text-align: center; margin-bottom: 32px; }
+        .header h1 {
+            font-size: 2.2em;
+            font-weight: 800;
+            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+            margin-bottom: 8px;
+        }
+        .header .sub {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.85em;
+            color: var(--text-muted);
+        }
+        .header .meta {
+            display: flex;
+            justify-content: center;
+            gap: 24px;
+            margin-top: 12px;
+            font-size: 0.8em;
+            color: var(--text-secondary);
+        }
+
+        /* Tabs */
+        .tabs {
+            display: flex;
+            gap: 4px;
+            background: var(--bg-panel);
+            border: 1px solid var(--border);
+            border-radius: 12px;
+            padding: 4px;
+            margin-bottom: 24px;
+            overflow-x: auto;
+        }
+        .tab-btn {
+            flex: 1;
+            min-width: 100px;
+            padding: 10px 16px;
+            background: none;
+            border: none;
+            color: var(--text-secondary);
+            font-family: 'Inter', sans-serif;
+            font-size: 0.85em;
+            font-weight: 600;
+            border-radius: 8px;
+            cursor: pointer;
+            transition: all 0.25s;
+            white-space: nowrap;
+        }
+        .tab-btn:hover { color: var(--text-primary); background: var(--bg-card); }
+        .tab-btn.active {
+            color: var(--bg-deep);
+            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
+            box-shadow: 0 0 20px var(--glow-cyan);
+        }
+        .tab-panel { display: none; animation: fadeUp 0.4s ease-out; }
+        .tab-panel.active { display: block; }
+        @keyframes fadeUp {
+            from { opacity: 0; transform: translateY(16px); }
+            to { opacity: 1; transform: translateY(0); }
+        }
+
+        /* Stats */
+        .stats-row {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 14px;
+            margin-bottom: 24px;
+        }
+        .stat-card {
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            border-radius: 10px;
+            padding: 18px;
+            position: relative;
+            overflow: hidden;
+            transition: all 0.3s;
+        }
+        .stat-card:hover {
+            border-color: var(--accent-cyan);
+            transform: translateY(-2px);
+            box-shadow: 0 8px 32px var(--glow-cyan);
+        }
+        .stat-label {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.65em;
+            color: var(--text-muted);
+            text-transform: uppercase;
+            letter-spacing: 1.5px;
+            margin-bottom: 6px;
+        }
+        .stat-value { font-size: 2em; font-weight: 800; }
+        .stat-sub { font-size: 0.75em; color: var(--text-secondary); margin-top: 4px; }
+        .grad-cyan { background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
+        .grad-orange { background: linear-gradient(135deg, var(--accent-orange), var(--accent-yellow)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
+        .grad-purple { background: linear-gradient(135deg, var(--accent-purple), #e879f9); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
+        .grad-green { background: linear-gradient(135deg, var(--accent-green), #4ade80); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
+        .grad-red { background: linear-gradient(135deg, var(--accent-red), #ff6b81); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
+
+        /* Agent Grid */
+        .agents-grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fill, minmax(340px, 1fr));
+            gap: 16px;
+        }
+        .agent-card {
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            border-radius: 12px;
+            padding: 20px;
+            transition: all 0.3s;
+            position: relative;
+            overflow: hidden;
+        }
+        .agent-card:hover {
+            border-color: var(--accent-cyan);
+            transform: translateY(-2px);
+            box-shadow: 0 8px 32px var(--glow-cyan);
+        }
+        .agent-card.has-history { border-left: 3px solid var(--accent-green); }
+        .agent-card.needs-update { border-left: 3px solid var(--accent-orange); }
+        .agent-card.is-new { border-left: 3px solid var(--accent-purple); }
+
+        .agent-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: flex-start;
+            margin-bottom: 12px;
+        }
+        .agent-name {
+            font-weight: 700;
+            font-size: 1.05em;
+            display: flex;
+            align-items: center;
+            gap: 8px;
+        }
+        .agent-color {
+            width: 12px;
+            height: 12px;
+            border-radius: 3px;
+            flex-shrink: 0;
+        }
+        .agent-category {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.7em;
+            padding: 3px 8px;
+            border-radius: 12px;
+            background: rgba(0,212,255,0.1);
+            color: var(--accent-cyan);
+        }
+        .agent-model {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.78em;
+            color: var(--accent-green);
+            margin-bottom: 8px;
+            display: flex;
+            align-items: center;
+            gap: 6px;
+        }
+        .agent-provider {
+            font-size: 0.7em;
+            padding: 2px 6px;
+            border-radius: 4px;
+            background: rgba(0,255,148,0.1);
+            color: var(--accent-green);
+        }
+        .agent-desc {
+            font-size: 0.85em;
+            color: var(--text-secondary);
+            line-height: 1.5;
+            margin-bottom: 12px;
+        }
+        .agent-meta {
+            display: grid;
+            grid-template-columns: repeat(3, 1fr);
+            gap: 8px;
+            padding-top: 12px;
+            border-top: 1px solid var(--border);
+        }
+        .agent-meta-item {
+            text-align: center;
+        }
+        .agent-meta-label {
+            font-size: 0.6em;
+            color: var(--text-muted);
+            text-transform: uppercase;
+            letter-spacing: 0.5px;
+        }
+        .agent-meta-value {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.9em;
+            font-weight: 600;
+            color: var(--text-primary);
+        }
+        .agent-history {
+            margin-top: 12px;
+            padding-top: 12px;
+            border-top: 1px dashed var(--border);
+        }
+        .history-title {
+            font-size: 0.7em;
+            color: var(--text-muted);
+            text-transform: uppercase;
+            margin-bottom: 8px;
+        }
+        .history-item {
+            display: flex;
+            align-items: center;
+            gap: 10px;
+            font-size: 0.75em;
+            padding: 6px 0;
+            border-bottom: 1px solid rgba(30,45,69,0.5);
+        }
+        .history-item:last-child { border-bottom: none; }
+        .history-date {
+            font-family: 'JetBrains Mono', monospace;
+            color: var(--text-muted);
+            min-width: 100px;
+        }
+        .history-type {
+            padding: 2px 6px;
+            border-radius: 4px;
+            font-size: 0.85em;
+        }
+        .history-type.model_change { background: rgba(0,212,255,0.15); color: var(--accent-cyan); }
+        .history-type.prompt_change { background: rgba(168,85,247,0.15); color: var(--accent-purple); }
+        .history-type.agent_created { background: rgba(0,255,148,0.15); color: var(--accent-green); }
+
+        /* Category Section */
+        .category-section { margin-bottom: 32px; }
+        .category-header {
+            display: flex;
+            align-items: center;
+            gap: 10px;
+            margin-bottom: 16px;
+            padding-bottom: 8px;
+            border-bottom: 1px solid var(--border);
+        }
+        .category-title {
+            font-size: 1.1em;
+            font-weight: 700;
+        }
+        .category-count {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.7em;
+            padding: 3px 8px;
+            border-radius: 12px;
+            background: rgba(168,85,247,0.15);
+            color: var(--accent-purple);
+        }
+
+        /* Evolution Timeline */
+        .timeline-wrap {
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            border-radius: 12px;
+            padding: 24px;
+            margin-bottom: 24px;
+        }
+        .timeline-title {
+            font-size: 1.1em;
+            font-weight: 700;
+            margin-bottom: 16px;
+        }
+        .timeline {
+            position: relative;
+            padding-left: 24px;
+        }
+        .timeline::before {
+            content: '';
+            position: absolute;
+            left: 8px;
+            top: 0;
+            bottom: 0;
+            width: 2px;
+            background: var(--border);
+        }
+        .timeline-item {
+            position: relative;
+            padding: 12px 0 12px 24px;
+            border-bottom: 1px solid var(--border);
+        }
+        .timeline-item:last-child { border-bottom: none; }
+        .timeline-item::before {
+            content: '';
+            position: absolute;
+            left: -20px;
+            top: 18px;
+            width: 12px;
+            height: 12px;
+            border-radius: 50%;
+            background: var(--accent-cyan);
+            border: 2px solid var(--border);
+        }
+        .timeline-date {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.75em;
+            color: var(--text-muted);
+        }
+        .timeline-content {
+            font-size: 0.9em;
+            margin-top: 4px;
+        }
+        .timeline-agent {
+            font-weight: 600;
+            color: var(--accent-cyan);
+        }
+        .timeline-change {
+            color: var(--text-secondary);
+        }
+
+        /* Filter Row */
+        .filter-row {
+            display: flex;
+            gap: 8px;
+            flex-wrap: wrap;
+            margin-bottom: 16px;
+        }
+        .filter-btn {
+            padding: 6px 14px;
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            color: var(--text-secondary);
+            border-radius: 20px;
+            font-size: 0.8em;
+            cursor: pointer;
+            transition: all 0.2s;
+            font-family: 'Inter', sans-serif;
+        }
+        .filter-btn:hover, .filter-btn.active {
+            border-color: var(--accent-cyan);
+            color: var(--accent-cyan);
+            background: rgba(0,212,255,0.05);
+        }
+
+        /* Search */
+        .search-box {
+            position: relative;
+            margin-bottom: 20px;
+        }
+        .search-input {
+            width: 100%;
+            padding: 12px 16px 12px 40px;
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            border-radius: 8px;
+            color: var(--text-primary);
+            font-family: 'Inter', sans-serif;
+            font-size: 0.9em;
+        }
+        .search-input:focus {
+            outline: none;
+            border-color: var(--accent-cyan);
+        }
+        .search-icon {
+            position: absolute;
+            left: 14px;
+            top: 50%;
+            transform: translateY(-50%);
+            color: var(--text-muted);
+        }
+
+        /* Model Matrix */
+        .matrix-wrap {
+            overflow-x: auto;
+            border-radius: 12px;
+            border: 1px solid var(--border);
+            background: var(--bg-card);
+            padding: 20px;
+        }
+        .matrix-title {
+            font-size: 1.1em;
+            font-weight: 700;
+            margin-bottom: 16px;
+        }
+        .matrix-table {
+            width: 100%;
+            border-collapse: collapse;
+            font-size: 0.8em;
+        }
+        .matrix-table th {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.7em;
+            color: var(--text-muted);
+            text-transform: uppercase;
+            padding: 10px 8px;
+            text-align: left;
+            border-bottom: 2px solid var(--border);
+            position: sticky;
+            top: 0;
+            background: var(--bg-panel);
+        }
+        .matrix-table td {
+            padding: 10px 8px;
+            border-bottom: 1px solid var(--border);
+        }
+        .matrix-table tr:hover td {
+            background: var(--bg-card-hover);
+        }
+        .score-bar {
+            display: flex;
+            align-items: center;
+            gap: 6px;
+        }
+        .score-bg {
+            width: 50px;
+            height: 5px;
+            background: var(--border);
+            border-radius: 3px;
+            overflow: hidden;
+        }
+        .score-fill {
+            height: 100%;
+            border-radius: 3px;
+        }
+        .score-fill.high { background: linear-gradient(90deg, var(--accent-green), #00ff94); }
+        .score-fill.medium { background: linear-gradient(90deg, var(--accent-orange), #ffc048); }
+        .score-fill.low { background: linear-gradient(90deg, var(--accent-red), #ff6b81); }
+
+        /* Heatmap */
+        .hm-wrap { overflow-x:auto; border-radius:11px; border:1px solid var(--border); background:var(--bg-card); padding:18px; margin-bottom:26px; }
+        .hm-title { font-weight:700; font-size:1.05em; }
+        .hm-sub { font-size:.76em; color:var(--text-muted); margin-bottom:14px; }
+        .hm-table { border-collapse:separate; border-spacing:2px; width:100%; }
+        .hm-table th { font-family:'JetBrains Mono',monospace; font-size:.62em; color:var(--text-muted); padding:8px 5px; text-align:center; white-space:nowrap; vertical-align:bottom; }
+        .hm-table th.hm-role { text-align:left; min-width:140px; font-size:.68em; padding-left:10px; }
+        .hm-table td { text-align:center; padding:6px 4px; font-family:'JetBrains Mono',monospace; font-size:.72em; font-weight:700; border-radius:6px; cursor:pointer; transition:all .15s cubic-bezier(.4,0,.2,1); min-width:42px; position:relative; line-height:1.4; }
+        .hm-table td:hover { transform:scale(1.1); z-index:2; box-shadow:0 4px 12px rgba(0,0,0,.35); }
+        .hm-table td.hm-r { text-align:left; font-family:'Inter',sans-serif; font-size:.82em; font-weight:600; color:var(--text-primary); cursor:default; padding-left:10px; }
+        .hm-table td.hm-r:hover { transform:none; box-shadow:none; }
+        .hm-star { position:absolute; top:2px; right:2px; font-size:.65em; text-shadow:0 1px 2px rgba(0,0,0,.5); }
+        .hm-cur { box-shadow:inset 0 0 0 2px var(--accent-cyan), 0 0 8px rgba(0,212,255,.35); border-radius:6px; }
+        .hm-cur::after { content:''; position:absolute; bottom:2px; left:50%; transform:translateX(-50%); width:8px; height:3px; background:var(--accent-cyan); border-radius:2px; }
+        .hm-if-warn { position:absolute; top:2px; left:2px; font-size:.6em; opacity:.8; }
+
+        /* Smooth gradient legend bar */
+        .hm-legend-wrap { margin-top:18px; padding:0 4px; }
+        .hm-legend-track { position:relative; height:22px; border-radius:11px; background:linear-gradient(90deg, rgba(0,255,148,.85) 0%, rgba(0,212,255,.75) 20%, rgba(59,130,246,.6) 40%, rgba(168,85,247,.45) 58%, rgba(255,159,67,.35) 75%, rgba(255,71,87,.3) 88%, rgba(90,104,128,.2) 100%); box-shadow:inset 0 1px 3px rgba(0,0,0,.3); }
+        .hm-legend-labels { display:flex; justify-content:space-between; align-items:center; margin-top:8px; padding:0 4px; }
+        .hm-legend-labels span { font-size:.68em; font-family:'JetBrains Mono',monospace; color:var(--text-muted); }
+        .hm-legend-left { color:var(--accent-green); }
+        .hm-legend-right { color:var(--accent-red); }
+        .hm-legend-marks { display:flex; justify-content:space-between; padding:0 2px; margin-top:3px; }
+        .hm-legend-marks span { font-size:.58em; font-family:'JetBrains Mono',monospace; color:var(--text-muted); min-width:20px; text-align:center; }
+
+        /* Heatmap Modal Tabs */
+        .hm-modal-tabs { display:flex; gap:3px; background:var(--bg-panel); border-bottom:1px solid var(--border); padding:4px 18px; }
+        .hm-tab-btn { padding:8px 16px; background:none; border:none; color:var(--text-secondary); font-family:'Inter'; font-size:.82em; font-weight:600; border-radius:8px; cursor:pointer; transition:all .25s; }
+        .hm-tab-btn.active { color:var(--bg-deep); background:linear-gradient(135deg,var(--accent-cyan),var(--accent-green)); }
+        .hm-tab-content { display:none; }
+        .hm-tab-content.active { display:block; }
+        .hm-model-timeline { display:flex; flex-direction:column; gap:12px; }
+        .hm-tl-item { display:flex; gap:14px; align-items:center; padding:10px; background:var(--bg-deep); border-radius:8px; border-left:3px solid var(--accent-cyan); }
+        .hm-tl-date { font-family:'JetBrains Mono',monospace; font-size:.72em; color:var(--text-muted); min-width:100px; }
+        .hm-tl-change { display:flex; align-items:center; gap:8px; }
+        .hm-tl-from { text-decoration:line-through; color:#ff6b81; background:rgba(255,71,87,.08); padding:2px 6px; border-radius:4px; }
+        .hm-tl-arrow { color:var(--accent-green); }
+        .hm-tl-to { color:var(--accent-green); background:rgba(0,255,148,.08); padding:2px 6px; border-radius:4px; font-weight:600; }
+        .hm-tl-current { border-left-color:var(--accent-green); background:rgba(0,255,148,.05); }
+        .hm-no-data { color:var(--text-muted); font-size:.9em; padding:16px; text-align:center; }
+        .hm-capabilities { display:flex; flex-wrap:wrap; gap:6px; }
+        .hm-cap-tag { padding:4px 10px; background:rgba(0,212,255,.1); border:1px solid var(--border); border-radius:16px; font-size:.78em; color:var(--accent-cyan); }
+        .hm-agent-desc { font-size:.9em; color:var(--text-secondary); line-height:1.5; margin-bottom:14px; padding:12px; background:var(--bg-deep); border-radius:8px; }
+        .hm-model-tl-score { margin-left:auto; font-family:'JetBrains Mono',monospace; font-size:.8em; color:var(--accent-cyan); }
+
+        /* Tooltip */
+        #ttOverlay { display:none; position:fixed; top:0;left:0;right:0;bottom:0; z-index:999; pointer-events:none; }
+        #ttOverlay.show { display:block; }
+        #ttBox { position:absolute; background:var(--bg-panel); border:1px solid var(--accent-cyan); border-radius:9px; padding:12px 16px; max-width:300px; box-shadow:0 10px 32px rgba(0,0,0,.55); z-index:1000; }
+        #ttBox h4 { color:var(--accent-cyan); font-size:.9em; margin-bottom:4px; }
+        #ttBox p { font-size:.78em; color:var(--text-secondary); line-height:1.45; }
+
+        /* Export */
+        .actions-row {
+            display: flex;
+            gap: 10px;
+            margin-bottom: 20px;
+        }
+        .action-btn {
+            padding: 8px 16px;
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            color: var(--text-primary);
+            border-radius: 8px;
+            font-family: 'Inter', sans-serif;
+            font-size: 0.85em;
+            cursor: pointer;
+            transition: all 0.25s;
+            display: inline-flex;
+            align-items: center;
+            gap: 8px;
+        }
+        .action-btn:hover {
+            border-color: var(--accent-cyan);
+            color: var(--accent-cyan);
+        }
+        .action-btn.primary {
+            background: linear-gradient(135deg, rgba(0,212,255,0.15), rgba(0,255,148,0.1));
+            border-color: var(--accent-cyan);
+            color: var(--accent-cyan);
+        }
+        .action-btn.primary:hover {
+            box-shadow: 0 0 20px var(--glow-cyan);
+        }
+
+        /* Modal */
+        .modal {
+            display: none;
+            position: fixed;
+            inset: 0;
+            background: rgba(0,0,0,0.7);
+            z-index: 9999;
+            justify-content: center;
+            align-items: center;
+            padding: 20px;
+        }
+        .modal.show { display: flex; }
+        .modal-content {
+            background: var(--bg-panel);
+            border: 1px solid var(--accent-cyan);
+            border-radius: 14px;
+            max-width: 900px;
+            width: 100%;
+            max-height: 85vh;
+            overflow: hidden;
+            display: flex;
+            flex-direction: column;
+            box-shadow: 0 20px 60px rgba(0,0,0,0.5);
+        }
+        .modal-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            padding: 18px 22px;
+            border-bottom: 1px solid var(--border);
+        }
+        .modal-title { font-weight: 700; font-size: 1.05em; }
+        .modal-actions { display: flex; gap: 8px; }
+        .modal-body {
+            flex: 1;
+            overflow: auto;
+            padding: 18px 22px;
+        }
+        .modal-pre {
+            font-family: 'JetBrains Mono', monospace;
+            font-size: 0.78em;
+            line-height: 1.6;
+            color: var(--accent-green);
+            white-space: pre-wrap;
+        }
+
+        /* Impact Tab */
+        .chart-wrap { background: var(--bg-card); border: 1px solid var(--border); border-radius: 12px; padding: 20px; margin-bottom: 24px; }
+        .chart-title { font-size: 1.1em; font-weight: 700; margin-bottom: 16px; }
+        .chart-sub { font-size: 0.76em; color: var(--text-muted); margin-bottom: 14px; }
+        .chart-placeholder { text-align: center; padding: 60px 20px; color: var(--text-muted); font-size: 0.95em; }
+        .chart-container { position:relative; height:280px; width:100%; }
+        .chart-container-sm { position:relative; height:240px; width:100%; }
+
+        /* Recommendation Cards */
+        .rec-card { background: var(--bg-card); border: 1px solid var(--border); border-radius: 12px; padding: 20px; transition: all 0.3s; margin-bottom: 16px; }
+        .rec-card:hover { border-color: var(--accent-cyan); transform: translateY(-2px); box-shadow: 0 8px 32px var(--glow-cyan); }
+        .rec-hdr { display: flex; justify-content: space-between; align-items: center; margin-bottom: 14px; }
+        .rec-agent { font-weight: 700; font-size: 1.1em; display: flex; align-items: center; gap: 10px; }
+        .rec-agent-name { color: var(--text-primary); }
+        .impact-badge { font-family: 'JetBrains Mono', monospace; font-size: 0.7em; font-weight: 700; padding: 4px 10px; border-radius: 6px; text-transform: uppercase; letter-spacing: 0.5px; }
+        .impact-badge.critical { background: rgba(255,71,87,0.2); color: #ff6b81; border: 1px solid rgba(255,71,87,0.4); }
+        .impact-badge.high { background: rgba(255,159,67,0.2); color: #ffc048; border: 1px solid rgba(255,159,67,0.4); }
+        .impact-badge.medium { background: rgba(59,130,246,0.2); color: #60a5fa; border: 1px solid rgba(59,130,246,0.4); }
+        .impact-badge.low { background: rgba(0,255,148,0.15); color: #4ade80; border: 1px solid rgba(0,255,148,0.3); }
+        .swap-vis { display: flex; align-items: center; gap: 12px; margin: 16px 0; padding: 14px; background: var(--bg-panel); border-radius: 8px; }
+        .swap-from, .swap-to { flex: 1; padding: 10px 14px; border-radius: 6px; font-family: 'JetBrains Mono', monospace; font-size: 0.8em; }
+        .swap-from { background: rgba(255,71,87,0.1); color: #ff6b81; border: 1px solid rgba(255,71,87,0.3); }
+        .swap-to { background: rgba(0,255,148,0.1); color: #4ade80; border: 1px solid rgba(0,255,148,0.3); }
+        .swap-arrow { color: var(--accent-cyan); font-size: 1.4em; font-weight: 700; }
+        .rec-metrics { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-bottom: 14px; }
+        .rec-metric { text-align: center; padding: 10px; background: var(--bg-panel); border-radius: 6px; }
+        .rec-metric-label { font-size: 0.65em; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.5px; }
+        .rec-metric-value { font-family: 'JetBrains Mono', monospace; font-size: 0.95em; font-weight: 600; color: var(--accent-green); margin-top: 4px; }
+        .rec-rationale { font-size: 0.85em; color: var(--text-secondary); line-height: 1.6; padding: 12px; background: rgba(0,212,255,0.05); border-radius: 6px; border-left: 3px solid var(--accent-cyan); }
+
+        /* Recommendation Card Checkbox */
+        .rec-checkbox { position: absolute; top: 16px; right: 16px; }
+        .rec-checkbox input { width: 18px; height: 18px; cursor: pointer; accent-color: var(--accent-cyan); }
+
+        /* Progress Modal */
+        .progress-overlay {
+            display: none;
+            position: fixed;
+            inset: 0;
+            background: rgba(0,0,0,0.85);
+            z-index: 10000;
+            justify-content: center;
+            align-items: center;
+            flex-direction: column;
+        }
+        .progress-overlay.show { display: flex; }
+        .progress-card {
+            background: var(--bg-panel);
+            border: 1px solid var(--accent-cyan);
+            border-radius: 14px;
+            padding: 32px 40px;
+            text-align: center;
+            max-width: 500px;
+            width: 90%;
+            box-shadow: 0 20px 60px rgba(0,0,0,0.5);
+        }
+        .progress-title { font-size: 1.2em; font-weight: 700; margin-bottom: 24px; }
+        .progress-bar-wrap { background: var(--bg-card); border-radius: 4px; height: 8px; overflow: hidden; margin-bottom: 20px; }
+        .progress-bar-fill {
+            height: 100%;
+            width: 0%;
+            background: linear-gradient(90deg, var(--accent-green), #00ff94);
+            border-radius: 4px;
+            transition: width 0.3s ease-out;
+        }
+        .progress-status { font-size: 0.9em; color: var(--text-secondary); margin-bottom: 20px; min-height: 24px; }
+        .progress-result { display: none; }
+        .progress-result.show { display: block; }
+        .progress-result p { font-size: 1em; color: var(--accent-green); margin-bottom: 20px; }
+        .progress-close-btn {
+            padding: 10px 24px;
+            background: var(--bg-card);
+            border: 1px solid var(--border);
+            color: var(--text-primary);
+            border-radius: 8px;
+            cursor: pointer;
+            font-size: 0.9em;
+        }
+        .progress-close-btn:hover { border-color: var(--accent-cyan); color: var(--accent-cyan); }
+
+        /* Research Modal */
+        .research-steps { text-align: left; margin: 20px 0; }
+        .research-step { padding: 12px 16px; background: var(--bg-card); border-radius: 8px; margin-bottom: 10px; font-size: 0.9em; color: var(--text-secondary); display: flex; align-items: center; gap: 10px; opacity: 0.5; transition: all 0.3s; }
+        .research-step.active { opacity: 1; color: var(--accent-cyan); background: rgba(0,212,255,0.1); }
+        .research-step.done { opacity: 1; color: var(--accent-green); }
+        .research-step .spinner { width: 16px; height: 16px; border: 2px solid var(--border); border-top-color: var(--accent-cyan); border-radius: 50%; animation: spin 1s linear infinite; display: none; }
+        .research-step.active .spinner { display: block; }
+        .research-summary { display: none; text-align: center; padding: 20px; }
+        .research-summary.show { display: block; }
+        .research-summary p { font-size: 1em; color: var(--text-secondary); margin-bottom: 16px; }
+        .research-link { color: var(--accent-cyan); text-decoration: underline; cursor: pointer; }
+
+        @keyframes spin { to { transform: rotate(360deg); } }
+
+        /* Apply Modal Checklist */
+        .apply-checklist { max-height: 300px; overflow-y: auto; margin: 16px 0; }
+        .apply-item {
+            display: flex;
+            align-items: center;
+            gap: 12px;
+            padding: 12px 14px;
+            background: var(--bg-card);
+            border-radius: 8px;
+            margin-bottom: 8px;
+            transition: all 0.2s;
+        }
+        .apply-item:hover { background: var(--bg-card-hover); }
+        .apply-item input { width: 18px; height: 18px; accent-color: var(--accent-cyan); }
+        .apply-item-content { flex: 1; }
+        .apply-item-agent { font-weight: 600; font-size: 0.95em; }
+        .apply-item-models { display: flex; align-items: center; gap: 8px; font-family: 'JetBrains Mono', monospace; font-size: 0.8em; margin-top: 4px; }
+        .apply-item-from { text-decoration: line-through; color: #ff6b81; }
+        .apply-item-arrow { color: var(--accent-cyan); }
+        .apply-item-to { color: var(--accent-green); }
+        .apply-item-impact { font-size: 0.7em; padding: 2px 8px; border-radius: 4px; text-transform: uppercase; }
+        .apply-item-impact.critical { background: rgba(255,71,87,0.2); color: #ff6b81; }
+        .apply-item-impact.high { background: rgba(255,159,67,0.2); color: #ffc048; }
+        .apply-item-impact.medium { background: rgba(59,130,246,0.2); color: #60a5fa; }
+        .apply-item-impact.low { background: rgba(0,255,148,0.15); color: #4ade80; }
+        .apply-modal-actions { display: flex; justify-content: flex-end; gap: 10px; margin-top: 16px; }
+        .apply-btn { padding: 10px 20px; border-radius: 8px; font-size: 0.9em; cursor: pointer; transition: all 0.25s; }
+        .apply-btn.apply { background: linear-gradient(135deg, rgba(0,212,255,0.15), rgba(0,255,148,0.1)); border: 1px solid var(--accent-cyan); color: var(--accent-cyan); }
+        .apply-btn.apply:hover { box-shadow: 0 0 20px var(--glow-cyan); }
+
+        @media (max-width: 768px) {
+            .header h1 { font-size: 1.5em; }
+            .tabs { flex-wrap: wrap; }
+            .agents-grid { grid-template-columns: 1fr; }
+            .stats-row { grid-template-columns: repeat(2, 1fr); }
+            .rec-metrics { grid-template-columns: repeat(2, 1fr); }
+            .swap-vis { flex-direction: column; }
+            .swap-arrow { transform: rotate(90deg); }
+        }
+    </style>
+</head>
+<body>
+<div class="container">
+    <div class="header">
+        <h1>APAW Agent Evolution</h1>
+        <div class="sub">Real-time agent model & performance tracking</div>
+        <div class="meta">
+            <span id="lastSync">Loading...</span>
+            <span>•</span>
+            <span id="agentCount">0 agents</span>
+            <span>•</span>
+            <span id="historyCount">0 with history</span>
+        </div>
+    </div>
+
+    <div class="tabs" id="tabBar">
+        <button class="tab-btn active" onclick="switchTab('overview')">Overview</button>
+        <button class="tab-btn" onclick="switchTab('agents')">All Agents</button>
+        <button class="tab-btn" onclick="switchTab('history')">Timeline</button>
+        <button class="tab-btn" onclick="switchTab('recommendations')">Recommendations</button>
+        <button class="tab-btn" onclick="switchTab('heatmap')">Heatmap</button>
+        <button class="tab-btn" onclick="switchTab('impact')">Impact</button>
+    </div>
+
+    <!-- Overview Tab -->
+    <div id="tab-overview" class="tab-panel active">
+        <div class="stats-row" id="statsRow"></div>
+
+        <div class="category-section">
+            <div class="category-header">
+                <h2 class="category-title">Recent Changes</h2>
+                <span class="category-count" id="recentCount">0</span>
+            </div>
+            <div class="timeline-wrap">
+                <div class="timeline" id="recentTimeline"></div>
+            </div>
+        </div>
+
+        <div class="category-section">
+            <div class="category-header">
+                <h2 class="category-title">Pending Recommendations</h2>
+                <span class="category-count" id="recCount">0</span>
+            </div>
+            <div class="agents-grid" id="recAgents"></div>
+        </div>
+    </div>
+
+    <!-- All Agents Tab -->
+    <div id="tab-agents" class="tab-panel">
+        <div class="search-box">
+            <span class="search-icon">🔍</span>
+            <input type="text" class="search-input" id="agentSearch" placeholder="Search agents..." oninput="filterAgents()">
+        </div>
+        <div class="filter-row">
+            <button class="filter-btn active" onclick="filterCategory('all')">All</button>
+            <button class="filter-btn" onclick="filterCategory('Core Dev')">Core Dev</button>
+            <button class="filter-btn" onclick="filterCategory('QA')">QA</button>
+            <button class="filter-btn" onclick="filterCategory('Security')">Security</button>
+            <button class="filter-btn" onclick="filterCategory('Analysis')">Analysis</button>
+            <button class="filter-btn" onclick="filterCategory('Process')">Process</button>
+            <button class="filter-btn" onclick="filterCategory('Cognitive')">Cognitive</button>
+        </div>
+        <div id="agentsByCategory"></div>
+    </div>
+
+    <!-- History Tab -->
+    <div id="tab-history" class="tab-panel">
+        <div class="timeline-wrap">
+            <h2 class="timeline-title">Evolution Timeline</h2>
+            <div class="timeline" id="fullTimeline"></div>
+        </div>
+    </div>
+
+    <!-- Recommendations Tab -->
+    <div id="tab-recommendations" class="tab-panel">
+        <div class="actions-row">
+            <button class="action-btn primary" onclick="showApplyModal()">
+                <span>✨</span> Apply Recommended Fixes
+            </button>
+            <button class="action-btn" onclick="showResearchModal()">
+                <span>🔬</span> New Research Cycle
+            </button>
+            <button class="action-btn" onclick="exportRecommendations()" style="display:none">
+                <span>📥</span> Export JSON
+            </button>
+        </div>
+        <div class="agents-grid" id="allRecommendations"></div>
+    </div>
+
+    <!-- Heatmap Tab -->
+    <div id="tab-heatmap" class="tab-panel">
+        <div class="hm-wrap">
+            <div class="hm-title">Agent × Model Compatibility Heatmap</div>
+            <div class="hm-sub">Weighted score = benchmark × instruction-following multiplier · ★ = best fit · outlined = current · click for details</div>
+            <div style="overflow-x:auto"><table class="hm-table" id="hmTable"></table></div>
+            <div class="hm-legend-wrap">
+                <div class="hm-legend-track"></div>
+                <div class="hm-legend-marks">
+                    <span>100</span><span>80</span><span>60</span><span>40</span><span>20</span><span>0</span>
+                </div>
+                <div class="hm-legend-labels">
+                    <span class="hm-legend-left">↑ Ideal Match</span>
+                    <span class="hm-legend-right">Mismatch ↓</span>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <!-- Impact Tab -->
+    <div id="tab-impact" class="tab-panel">
+        <div class="stats-row" id="impactStats"></div>
+        
+        <!-- Chart 1: Agent Performance Scores -->
+        <div class="chart-wrap">
+            <div class="chart-title">Agent Performance Scores</div>
+            <div class="chart-sub">Composite score per agent based on model benchmarks</div>
+            <div class="chart-container"><canvas id="agentScoreChart"></canvas></div>
+        </div>
+        
+        <!-- Chart 2 & 3 side by side -->
+        <div style="display:grid;grid-template-columns:1fr 1.5fr;gap:20px;margin-bottom:24px">
+            <div class="chart-wrap">
+                <div class="chart-title">Model Distribution</div>
+                <div class="chart-sub">Agents per model</div>
+                <div class="chart-container-sm"><canvas id="modelDistChart"></canvas></div>
+            </div>
+            <div class="chart-wrap">
+                <div class="chart-title">Migration Impact</div>
+                <div class="chart-sub">Before vs after model change score</div>
+                <div class="chart-container-sm"><canvas id="migrationImpactChart"></canvas></div>
+            </div>
+        </div>
+    </div>
+</div>
+
+<!-- Export Modal -->
+<div class="modal" id="exportModal">
+    <div class="modal-content">
+        <div class="modal-header">
+            <div class="modal-title">Export Recommendations</div>
+            <div class="modal-actions">
+                <button class="action-btn" onclick="copyToClipboard()">📋 Copy</button>
+                <button class="action-btn primary" onclick="downloadJSON()">⬇ Download</button>
+                <button class="action-btn" onclick="closeModal()" style="border-color: #ff4757; color: #ff6b81;">✕</button>
+            </div>
+        </div>
+        <div class="modal-body">
+            <pre class="modal-pre" id="exportContent"></pre>
+        </div>
+    </div>
+</div>
+
+<!-- Apply Fixes Modal -->
+<div class="modal" id="applyModal">
+    <div class="modal-content" style="max-width:600px">
+        <div class="modal-header">
+            <div class="modal-title">Apply Model Recommendations</div>
+            <div class="modal-actions">
+                <button class="action-btn" onclick="closeApplyModal()" style="border-color: #ff4757; color: #ff6b81;">✕</button>
+            </div>
+        </div>
+        <div class="modal-body">
+            <p style="color: var(--text-secondary); margin-bottom: 16px;">Select recommendations to apply. All items are selected by default.</p>
+            <div class="apply-checklist" id="applyChecklist"></div>
+            <div class="apply-modal-actions">
+                <button class="apply-btn apply" onclick="simulateApply()">Apply Selected</button>
+            </div>
+        </div>
+    </div>
+</div>
+
+<!-- Progress Modal -->
+<div class="progress-overlay" id="progressModal">
+    <div class="progress-card">
+        <div class="progress-title" id="progressTitle">Applying Fixes...</div>
+        <div class="progress-bar-wrap">
+            <div class="progress-bar-fill" id="progressBar"></div>
+        </div>
+        <div class="progress-status" id="progressStatus">Preparing...</div>
+        <div class="progress-result" id="progressResult">
+            <p id="progressResultText"></p>
+            <button class="progress-close-btn" onclick="closeProgressModal()">Close</button>
+        </div>
+    </div>
+</div>
+
+<!-- Research Modal -->
+<div class="modal" id="researchModal">
+    <div class="modal-content" style="max-width:550px">
+        <div class="modal-header">
+            <div class="modal-title">Agent Model Research</div>
+            <div class="modal-actions">
+                <button class="action-btn" onclick="closeResearchModal()" style="border-color: #ff4757; color: #ff6b81;">✕</button>
+            </div>
+        </div>
+        <div class="modal-body">
+            <div class="research-steps" id="researchSteps">
+                <div class="research-step" data-step="1">
+                    <span class="spinner"></span>
+                    <span>Analyzing benchmark data...</span>
+                </div>
+                <div class="research-step" data-step="2">
+                    <span class="spinner"></span>
+                    <span>Computing composite scores...</span>
+                </div>
+                <div class="research-step" data-step="3">
+                    <span class="spinner"></span>
+                    <span>Cross-referencing agent assignments...</span>
+                </div>
+                <div class="research-step" data-step="4">
+                    <span class="spinner"></span>
+                    <span>Generating recommendations...</span>
+                </div>
+                <div class="research-step" data-step="5">
+                    <span class="spinner"></span>
+                    <span>Research complete!</span>
+                </div>
+            </div>
+            <div class="research-summary" id="researchSummary">
+                <p id="researchSummaryText"></p>
+                <a class="research-link" onclick="alert('This would open the full report.')">View Report</a>
+            </div>
+        </div>
+    </div>
+</div>
+
+<!-- Tooltip Overlay -->
+<div id="ttOverlay"><div id="ttBox"></div></div>
+
+<!-- Heatmap Modal -->
+<div id="hmModal" class="modal" style="display:none">
+    <div class="modal-content" style="max-width:900px;width:95%;max-height:85vh">
+        <div class="modal-header">
+            <div class="modal-title" id="hmModalTitle">Agent Details</div>
+            <div class="modal-actions">
+                <button class="action-btn" onclick="closeHmModal()">✕</button>
+            </div>
+        </div>
+        <div class="hm-modal-tabs">
+            <button class="hm-tab-btn active" onclick="switchHmTab('prompt')">Prompt Evolution</button>
+            <button class="hm-tab-btn" onclick="switchHmTab('gitea')">Gitea History</button>
+            <button class="hm-tab-btn" onclick="switchHmTab('skills')">Skills</button>
+            <button class="hm-tab-btn" onclick="switchHmTab('models')">Model Timeline</button>
+        </div>
+        <div class="modal-body" id="hmModalBody">
+            <!-- Content injected by JS -->
+        </div>
+    </div>
+</div>
+
+<script>
+// Agent Evolution Dashboard
+// Supports both server and file:// mode
+let agentData = {};
+
+// Set Chart.js dark theme defaults
+Chart.defaults.color = '#8ba3c0';
+Chart.defaults.borderColor = '#1e2d45';
+Chart.defaults.font.family = "'Inter', sans-serif";
+
+// Inline recommendation data fallback (from model-research-latest.json)
+const INLINE_RECOMMENDATIONS = []; // REMOVED — data now comes from agentData, not hardcoded
+
+// Inline benchmark data (fallback when embedded data doesn't have model_benchmarks)
+// SOURCE: agent-evolution/data/model-benchmarks-verified.json v2.0.0
+// All IF scores verified against artificialanalysis.ai. SWE-bench scores removed — none of the 15 models appear on the official swebench.com leaderboard.
+/* MODEL_BENCHMARKS removed — data now in EMBEDDED_DATA.model_benchmarks */
+
+// Default embedded data (minimal - updated by sync script)
+// Unified data from REAL sources (2026-05-25T19:17:50.324Z)
+// Sources: .kilo/agents/*.md + kilo-meta.json + model-benchmarks-verified.json
+const EMBEDDED_DATA = {
+  "$schema": "./data/evolution.schema.json",
+  "version": "2.1.0",
+  "lastUpdated": "2026-05-25T19:17:50.312Z",
+  "agents": {
+    "agent-architect": {
+      "current": {
+        "description": "Creates, modifies, and reviews new agents, workflows, and skills based on capability gap analysis. Tier 2 meta-agent with self-cascade enabled.",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#8B5CF6",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T22:30:00Z",
+          "commit": "auto",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "+22% quality, IF:90 for YAML frontmatter generation",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "kimi-k2.6 best fit for agent-architect (86). Multimodal for reviewing UI components.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-04-03T20:27:54Z",
+          "commit": "a0ef7cd02d3579883287ff0ffc23d1e5932c703a",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add Agent Architect and KILO_SPEC documentation",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T01:51:28Z",
+          "commit": "298dde4273944e17d929b3b774c58e4f09e50753",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/openai/gpt-oss:120b",
+          "reason": "feat: add capability-analyst and agent-architect for task coverage analysis",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T01:54:02Z",
+          "commit": "657407d5efd7eea2fc3bd6aa5853ebc320514e1d",
+          "type": "model_change",
+          "from": "openrouter/openai/gpt-oss:120b",
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "fix: replace unavailable model references with available ones",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T02:05:17Z",
+          "commit": "39d5ddf333ff2276580f3bee59b56462f52e9c1d",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "test: add validation functions and autonomous pipeline system tests",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:15:30Z",
+          "commit": "ebbb4d01b23066f27e451334e43899bd96b5ac90",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: optimize agent models for better performance",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:37:23Z",
+          "commit": "a4e09ad5d5e88ee25688b3a2d1c548e3ada0e549",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: upgrade agent models based on research findings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:42:32Z",
+          "commit": "6ba325cec5135517241bbbb48acfc54aeadaeac2",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct model path format for OpenRouter",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-04T22:01:45Z",
+          "commit": "80dca09ae0a74bd9b1b846e7c91d8b398d80ce9e",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "fix: unquoted color, duplicate key, GLM downgrade + cross-platform validator",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T21:25:38Z",
+          "commit": "47b027a02fc909a303a659282afb228ac2204c0c",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(gns2): Gitea-Nervous-System v2.0 - distributed agent state machine",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:27:48Z",
+          "commit": "4c9a95661f6222c84e0a67cec217babfacefdf29",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "evolution: remove obsolete :cloud suffix from kimi-k2.6 model id across all configs",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "architect-indexer": {
+      "current": {
+        "description": "Indexes and maps project codebase architecture into .architect/ directory. Creates and maintains structured documentation of entities, APIs, DB schema, file graphs, and conventions. (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/glm-5.1",
+        "provider": "Ollama Cloud",
+        "color": "#10B981",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "architect-indexer could improve from ollama-cloud/glm-5.1 to kimi-k2.6. Score: 81 → 92 (+11). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 81,
+            "score_after": 92,
+            "score_delta": 11,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 81,
+          "instruction_following": 90
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-22T20:01:38Z",
+          "commit": "6b71ea2b574dea773ef424291de119eedd9b470e",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: add .architect/ project mapping system with architect-indexer agent and Docker containerization",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "backend-developer": {
+      "current": {
+        "description": "Backend specialist for Node.js, Express, APIs, and database integration (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#10B981",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "backend-developer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T01:19:09Z",
+          "commit": "23eb60762cec861a8a7ab306b994946d55e77e18",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add workflows for CMS, E-commerce, Blog + backend-developer agent + prompt-engineering rules",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T02:39:06Z",
+          "commit": "8fcd8f8a9b4fc05318af2cd757d0e3a441bf12a4",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add comprehensive NodeJS development skills and rules",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:00:55Z",
+          "commit": "41eb4c7d4d67a1c395a00f3ff819daa6eb030b9d",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add database skills for ClickHouse, PostgreSQL, and SQLite",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:47:01Z",
+          "commit": "43747d9875edd6061699b831c51ccbb573ec6a47",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add Docker/DevOps skills and devops-engineer agent",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T13:02:32Z",
+          "commit": "0a854a3bc323330daab1a947c9f1d244dbb8a555",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "fix: add missing agent permissions and update orchestrator mappings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "browser-automation": {
+      "current": {
+        "description": "Browser automation agent using Playwright MCP for E2E testing, form filling, navigation, and web interaction (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-flash",
+        "provider": "Ollama Cloud",
+        "color": "#1E88E5",
+        "category": "testing",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "medium",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "browser-automation could improve from ollama-cloud/deepseek-v4-flash to kimi-k2.6. Score: 88 → 92 (+4). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 88,
+            "score_after": 92,
+            "score_delta": 4,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 88,
+          "instruction_following": 86
+        }
+      },
+      "history": [
+        {
+          "date": "2026-05-25T14:08:46.653Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/deepseek-v4-flash",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:49:56Z",
+          "commit": "5793b7909b3888ae29d3fafe3f2d04ca0c5ad71f",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add web testing system with browser automation (Milestone #44)",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T15:07:17Z",
+          "commit": "047a87afb405c647bcb778f3c090d042440839d3",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/deepseek-v4-flash",
+          "reason": "feat(agent-models): apply MEDIUM+LOW priority model migrations",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "capability-analyst": {
+      "current": {
+        "description": "Analyzes task requirements against available agents, workflows, and skills. Identifies gaps and recommends new components. Tier 2 meta-agent with self-cascade enabled.",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#6366F1",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T22:30:00Z",
+          "commit": "auto",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "+23% quality, IF:90, FREE via OpenRouter",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:08:46.653Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T01:51:28Z",
+          "commit": "298dde4273944e17d929b3b774c58e4f09e50753",
+          "type": "model_change",
+          "from": null,
+          "to": "anthropic/claude-sonnet-4-20250514",
+          "reason": "feat: add capability-analyst and agent-architect for task coverage analysis",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T01:54:02Z",
+          "commit": "657407d5efd7eea2fc3bd6aa5853ebc320514e1d",
+          "type": "model_change",
+          "from": "anthropic/claude-sonnet-4-20250514",
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "fix: replace unavailable model references with available ones",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:15:30Z",
+          "commit": "ebbb4d01b23066f27e451334e43899bd96b5ac90",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: optimize agent models for better performance",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:37:23Z",
+          "commit": "a4e09ad5d5e88ee25688b3a2d1c548e3ada0e549",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: upgrade agent models based on research findings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:42:32Z",
+          "commit": "6ba325cec5135517241bbbb48acfc54aeadaeac2",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct model path format for OpenRouter",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T21:25:38Z",
+          "commit": "47b027a02fc909a303a659282afb228ac2204c0c",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): Gitea-Nervous-System v2.0 - distributed agent state machine",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T15:07:17Z",
+          "commit": "047a87afb405c647bcb778f3c090d042440839d3",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(agent-models): apply MEDIUM+LOW priority model migrations",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "code-skeptic": {
+      "current": {
+        "description": "Adversarial code reviewer. Finds problems and issues. Does NOT suggest implementations (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/minimax-m2.5",
+        "provider": "Ollama Cloud",
+        "color": "#E11D48",
+        "category": "quality",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "code-skeptic could improve from ollama-cloud/minimax-m2.5 to kimi-k2.6. Score: 74 → 92 (+18). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 74,
+            "score_after": 92,
+            "score_delta": 18,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 74,
+          "instruction_following": 82
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss-120b",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss-120b",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss-120b",
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "devops-engineer": {
+      "current": {
+        "description": "DevOps specialist for Docker, Kubernetes, CI/CD pipeline automation, and infrastructure management (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#FF6B35",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T12:47:01Z",
+          "commit": "43747d9875edd6061699b831c51ccbb573ec6a47",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add Docker/DevOps skills and devops-engineer agent",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T13:02:32Z",
+          "commit": "0a854a3bc323330daab1a947c9f1d244dbb8a555",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "fix: add missing agent permissions and update orchestrator mappings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:27:48Z",
+          "commit": "4c9a95661f6222c84e0a67cec217babfacefdf29",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "evolution: remove obsolete :cloud suffix from kimi-k2.6 model id across all configs",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "evaluator": {
+      "current": {
+        "description": "Scores agent effectiveness after task completion for continuous improvement. Tier 2 meta-agent with self-cascade enabled.",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3.5-122b",
+        "provider": "Ollama Cloud",
+        "color": "#047857",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "evaluator could improve from ollama-cloud/qwen3.5-122b to kimi-k2.6. Score: 82 → 92 (+10). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 82,
+            "score_after": 92,
+            "score_delta": 10,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 82,
+          "instruction_following": 92
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Nemotron 3 Super better for evaluation tasks",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T22:30:00Z",
+          "commit": "auto",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "+4% quality, IF:90 for scoring accuracy, FREE",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-o3",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-o3",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-o3",
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:37:23Z",
+          "commit": "a4e09ad5d5e88ee25688b3a2d1c548e3ada0e549",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: upgrade agent models based on research findings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:42:32Z",
+          "commit": "6ba325cec5135517241bbbb48acfc54aeadaeac2",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct model path format for OpenRouter",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T21:25:38Z",
+          "commit": "47b027a02fc909a303a659282afb228ac2204c0c",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): Gitea-Nervous-System v2.0 - distributed agent state machine",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "flutter-developer": {
+      "current": {
+        "description": "Flutter mobile specialist for cross-platform apps, state management, and UI components (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#02569B",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "flutter-developer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T15:00:00Z",
+          "commit": "af5f401",
+          "type": "agent_created",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "New agent for Flutter development",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T17:04:13Z",
+          "commit": "af5f401a533810926da2bf1ec559456d92c1cabd",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add Flutter development support with agent, rules and skills",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T17:26:02Z",
+          "commit": "b899119d218470c28e0988d1d0bcba6ba2b55330",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add html-to-flutter skill and research report",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "frontend-developer": {
+      "current": {
+        "description": "Handles UI implementation with multimodal capabilities. Accepts visual references like screenshots and mockups (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/minimax-m2.5",
+        "provider": "Ollama Cloud",
+        "color": "#0EA5E9",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "frontend-developer could improve from ollama-cloud/minimax-m2.5 to kimi-k2.6. Score: 74 → 92 (+18). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 74,
+            "score_after": 92,
+            "score_delta": 18,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 74,
+          "instruction_following": 82
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "af5f401",
+          "type": "agent_created",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "Flutter development support added",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T17:00:00Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "Matrix score 92 for frontend on M2.5. SWE-bench 80.2%.",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.5",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.5",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T13:02:32Z",
+          "commit": "0a854a3bc323330daab1a947c9f1d244dbb8a555",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.5",
+          "reason": "fix: add missing agent permissions and update orchestrator mappings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.5",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-19T10:04:51Z",
+          "commit": "7445e66676fa5465cafd20a337c1b8f1ca4d7d96",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add Next.js, Vue/Nuxt, React, Python (Django/FastAPI) skills and agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/kimi-k2.5",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.5",
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T16:54:29Z",
+          "commit": "f65bbf9420023bda5dc475b5a968fc1556289342",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: add visual quality rules to frontend-developer agent + new screenshot page",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "go-developer": {
+      "current": {
+        "description": "Go backend specialist for Gin, Echo, APIs, and database integration (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#00ADD8",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "Qwen3-Coder optimized for Go",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T17:00:00Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Matrix score 88 for go-dev on V4-Pro. DeepSeek traditionally strong in Go/Rust.",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-05T03:40:32Z",
+          "commit": "be4c586c8fb4b32f7a4dd329bd67d234d81054f7",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add Go Lang development coverage (Milestone #49)",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:00:55Z",
+          "commit": "41eb4c7d4d67a1c395a00f3ff819daa6eb030b9d",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add database skills for ClickHouse, PostgreSQL, and SQLite",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T13:02:32Z",
+          "commit": "0a854a3bc323330daab1a947c9f1d244dbb8a555",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "fix: add missing agent permissions and update orchestrator mappings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "history-miner": {
+      "current": {
+        "description": "Analyzes git history to find duplicates and past solutions, preventing regression and duplicate work (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3.5-122b",
+        "provider": "Ollama Cloud",
+        "color": "#059669",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "history-miner could improve from ollama-cloud/qwen3.5-122b to kimi-k2.6. Score: 82 → 92 (+10). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 82,
+            "score_after": 92,
+            "score_delta": 10,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 82,
+          "instruction_following": 92
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:08:46.653Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gemini-3-flash",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/gemini-3-flash",
+          "to": "ollama-cloud/gpt-oss:20b",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:20b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:15:30Z",
+          "commit": "ebbb4d01b23066f27e451334e43899bd96b5ac90",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:20b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: optimize agent models for better performance",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T15:07:17Z",
+          "commit": "047a87afb405c647bcb778f3c090d042440839d3",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "feat(agent-models): apply MEDIUM+LOW priority model migrations",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "incident-responder": {
+      "current": {
+        "description": "Server incident response and system hardening specialist. Handles live forensics, malware removal, persistence hunting, SSH-based server cleanup, and post-incident hardening. Works with any OS and panel.",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#B91C1C",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-05-09T13:31:20Z",
+          "commit": "c031c4b9e5d3973d5e29c7aea13166b282ea49c4",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(evolution): add incident-responder agent for server incident response and forensics",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:27:48Z",
+          "commit": "4c9a95661f6222c84e0a67cec217babfacefdf29",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "evolution: remove obsolete :cloud suffix from kimi-k2.6 model id across all configs",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "lead-developer": {
+      "current": {
+        "description": "Primary code writer for backend and core logic. Writes implementation to pass tests (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#DC2626",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "lead-developer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "Initial configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T16:56:09Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Nemotron 3 Super has better reasoning",
+          "source": "research"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "Reverted to qwen3-coder: SWE-bench 66.5% is coding-benchmark standard. Matrix score 92 vs nemotron 70.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-29T21:04:22Z",
+          "commit": "3badb259cc97c7ab0c5e2ad560859278a17443ed",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: bidirectional research dashboard + agent config fixes",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-29T23:19:16Z",
+          "commit": "9e48a4960e5bc80c150822972d99adb9ecd7bb0d",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "fix: restore optimal v3 models + add fitness gate protection",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "markdown-validator": {
+      "current": {
+        "description": "Validates and corrects Markdown descriptions for Gitea issues (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/nemotron-3-nano",
+        "provider": "Ollama Cloud",
+        "color": "#F97316",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "markdown-validator could improve from ollama-cloud/nemotron-3-nano to kimi-k2.6. Score: 62 → 92 (+30). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 62,
+            "score_after": 92,
+            "score_delta": 30,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 62,
+          "instruction_following": 68
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/nemotron-3-nano:30b",
+          "reason": "Nano efficient for lightweight validation tasks",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-nano:30b",
+          "to": "ollama-cloud/nemotron-3-nano",
+          "reason": "Unified naming. Nano IF=68, tiny and cheap, perfect for validation.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-05-23T23:35:02.185Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-nano",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:08:46.653Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v4-pro-max",
+          "to": "ollama-cloud/nemotron-3-nano",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T01:42:12Z",
+          "commit": "e58a5b6380d8e923ea4264783fb03fd4e8351a9f",
+          "type": "model_change",
+          "from": null,
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: add markdown-validator agent and scoped-labels skill",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/nemotron-3-nano:30b",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-nano:30b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-nano:30b",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T15:07:17Z",
+          "commit": "047a87afb405c647bcb778f3c090d042440839d3",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v4-pro-max",
+          "to": "ollama-cloud/nemotron-3-nano",
+          "reason": "feat(agent-models): apply MEDIUM+LOW priority model migrations",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "memory-manager": {
+      "current": {
+        "description": "Manages agent memory systems - short-term (context), long-term (vector store), and episodic (experiences) (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#8B5CF6",
+        "category": "cognitive",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "RULER@1M critical for memory ctx",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "MIGRATION: qwen3.6-plus was OpenRouter. deepseek-v4-pro-max has 1M context (same as nemotron), matrix 86, SWE-V 80.6.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-05-23T23:35:02.184Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v4-pro-max",
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.6-plus",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T02:01:05Z",
+          "commit": "774dc9ac4052a1830ec238837fbf7a2c7d6b2518",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add cognitive enhancement agents based on research",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.6-plus",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "orchestrator": {
+      "current": {
+        "description": "Main dispatcher. Routes tasks between agents based on Issue status and manages the workflow state machine. IF:90 for optimal routing accuracy. (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#7C3AED",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T20:28:58Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "kimi-k2.6 best fit for orchestration (92). 300 sub-agent swarm.",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T00:50:08Z",
+          "commit": "259f4079c20b8e824fad0d5bce79cf7be0dd17ee",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "docs: add CapabilityAnalyst and MarkdownValidator to spec and orchestrator table",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T01:36:39Z",
+          "commit": "39eeb2f35fe2b1fb81c82e13d65b0a9f5278c5ae",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add workflow executor, quality controller, and workflow architect for closed-loop execution",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T02:05:37Z",
+          "commit": "420c10fb12465c8262cfe0da24fc8a2c07b48dc9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: integrate cognitive enhancement agents into capability index and orchestrator",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T13:02:32Z",
+          "commit": "0a854a3bc323330daab1a947c9f1d244dbb8a555",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "fix: add missing agent permissions and update orchestrator mappings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T22:55:12Z",
+          "commit": "b9abd91d075308d15ff800986290aeacf3b5fa25",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: orchestrator evolution — full access + model upgrades + self-evolution protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-07T08:55:24Z",
+          "commit": "e074612046cf99e28f007ca02d62c23b6d51fc02",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add web testing infrastructure",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T23:43:04Z",
+          "commit": "b46a1a20a8ea028eaf4365bd785c2d9a6847119a",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: add PHP development stack, atomic tasks, modular code rules, agent monitoring, fix target project detection",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-19T10:04:51Z",
+          "commit": "7445e66676fa5465cafd20a337c1b8f1ca4d7d96",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: add Next.js, Vue/Nuxt, React, Python (Django/FastAPI) skills and agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-22T20:01:38Z",
+          "commit": "6b71ea2b574dea773ef424291de119eedd9b470e",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: add .architect/ project mapping system with architect-indexer agent and Docker containerization",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T18:54:08Z",
+          "commit": "f01e2064fb020de66cd800217203df525be927ed",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(evolution): Kilo Code release sync & APAW system hardening (v2026-05-07)",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-09T13:31:20Z",
+          "commit": "c031c4b9e5d3973d5e29c7aea13166b282ea49c4",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(evolution): add incident-responder agent for server incident response and forensics",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:27:48Z",
+          "commit": "4c9a95661f6222c84e0a67cec217babfacefdf29",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "evolution: remove obsolete :cloud suffix from kimi-k2.6 model id across all configs",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-16T13:10:06Z",
+          "commit": "4e9ea678bd89cb7c518ce46d6fbeb28fa0aa65f9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(orchestrator): evolution — capability-first routing, parallelization, zero-work policy",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-18T15:54:15Z",
+          "commit": "46d67528900e7d1543641417710eb440929bc4db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(context-window): evolution — Gitea-centric checkpoint pruning + agent context hygiene",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-18T16:13:33Z",
+          "commit": "ded8e3022d9f9b8f6d7dbbd3bad675d3e0ad2e22",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(parallel-coordination): evolution — Gitea comment-based task claiming for parallel agent execution",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T00:11:25Z",
+          "commit": "e6e8e9cb2adc24595b18f0f6b0bafc29369201cc",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(workflow-cross-checker): add pre-flight inter-agent validation agent with gate protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "performance-engineer": {
+      "current": {
+        "description": "Reviews code for performance issues. Focuses on efficiency, N+1 queries, memory leaks, and algorithmic complexity (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#0D9488",
+        "category": "quality",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Better reasoning for performance analysis",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Matrix=84 for perf-engineer on V4-Pro. GPQA 90.1 for reasoning.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "php-developer": {
+      "current": {
+        "description": "PHP backend specialist for Laravel, Symfony, WordPress, and full-stack web applications (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#8B5CF6",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "php-developer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-18T23:43:04Z",
+          "commit": "b46a1a20a8ea028eaf4365bd785c2d9a6847119a",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add PHP development stack, atomic tasks, modular code rules, agent monitoring, fix target project detection",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "pipeline-judge": {
+      "current": {
+        "description": "Automated pipeline judge. Evaluates workflow execution by running tests, measuring token cost and wall-clock time. Produces objective fitness scores. Never writes code - only measures and scores. (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#DC2626",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-06T00:23:50+0100Z",
+          "commit": "fa68141d",
+          "type": "agent_created",
+          "from": null,
+          "to": "",
+          "reason": "feat: add pipeline-judge agent and evolution workflow system",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T00:23:50Z",
+          "commit": "fa68141d476a6356a2fb0618a124d49c9a8d2c65",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: add pipeline-judge agent and evolution workflow system",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T00:48:21Z",
+          "commit": "170324765147282e20fd17236378afba6f0db5c9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: add Docker-based evolution testing with precise measurements",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T01:35:29Z",
+          "commit": "ae471dcd6b6d266bd485279b28c33740470589e7",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "docs: remove Docker references from pipeline-judge",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T22:55:12Z",
+          "commit": "b9abd91d075308d15ff800986290aeacf3b5fa25",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: orchestrator evolution — full access + model upgrades + self-evolution protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "planner": {
+      "current": {
+        "description": "Advanced task planner using Chain of Thought, Tree of Thoughts, and Plan-Execute-Reflect (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#F59E0B",
+        "category": "cognitive",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Nemotron 3 Super excels at planning",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T17:00:00Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Matrix score 88 for planner on V4-Pro. GPQA 90.1.",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-05T02:01:05Z",
+          "commit": "774dc9ac4052a1830ec238837fbf7a2c7d6b2518",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add cognitive enhancement agents based on research",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "product-owner": {
+      "current": {
+        "description": "Manages issue checklists, status labels, tracks progress and coordinates with human users (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/glm-5.1",
+        "provider": "Ollama Cloud",
+        "color": "#EA580C",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "product-owner could improve from ollama-cloud/glm-5.1 to kimi-k2.6. Score: 81 → 92 (+11). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 81,
+            "score_after": 92,
+            "score_delta": 11,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 81,
+          "instruction_following": 90
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5",
+          "reason": "GLM-5 good for management tasks",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.5-122b",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:47:14Z",
+          "commit": "1ab9939c92a6201884d8919aeba360dac8b09213",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct OpenRouter model paths across all files",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "prompt-optimizer": {
+      "current": {
+        "description": "Improves agent system prompts based on performance failures. Meta-learner for prompt optimization (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3.5-122b",
+        "provider": "Ollama Cloud",
+        "color": "#BE185D",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "prompt-optimizer could improve from ollama-cloud/qwen3.5-122b to kimi-k2.6. Score: 82 → 92 (+10). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 82,
+            "score_after": 92,
+            "score_delta": 10,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 82,
+          "instruction_following": 92
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Research recommendation applied",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.5",
+          "reason": "MIGRATION: qwen3.6-plus was OpenRouter (not Ollama Cloud). qwen3.5 has IF=92, updated 2 days ago, 12.4M pulls.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-05-23T23:35:02.184Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.5",
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.6-plus",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/claude-4.5",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/claude-4.5",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:15:30Z",
+          "commit": "ebbb4d01b23066f27e451334e43899bd96b5ac90",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: optimize agent models for better performance",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:47:14Z",
+          "commit": "1ab9939c92a6201884d8919aeba360dac8b09213",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct OpenRouter model paths across all files",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3.6-plus",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3.6-plus",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "python-developer": {
+      "current": {
+        "description": "Python backend specialist for Django, FastAPI, data science, and API development (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#3776AB",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "python-developer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-19T10:04:51Z",
+          "commit": "7445e66676fa5465cafd20a337c1b8f1ca4d7d96",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add Next.js, Vue/Nuxt, React, Python (Django/FastAPI) skills and agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "reflector": {
+      "current": {
+        "description": "Self-reflection agent using Reflexion pattern - learns from mistakes (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#10B981",
+        "category": "cognitive",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Better for reflection tasks",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T17:00:00Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Matrix score 84. Strong reasoning chains.",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-05T02:01:05Z",
+          "commit": "774dc9ac4052a1830ec238837fbf7a2c7d6b2518",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add cognitive enhancement agents based on research",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "release-manager": {
+      "current": {
+        "description": "Manages git operations, semantic versioning, branching, and deployments. Ensures clean history (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#581C87",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/devstral-2:123b",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:08:46.653Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/devstral-2-123b",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/devstral-2-123b",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/devstral-2-123b",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder:480b",
+          "to": "ollama-cloud/devstral-2:123b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:37:45Z",
+          "commit": "d9fd744a462f62fc91112de2bbf289a78dce8b22",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/devstral-2:123b",
+          "reason": "feat: add task analysis workflow and update issue management",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-06T22:55:12Z",
+          "commit": "b9abd91d075308d15ff800986290aeacf3b5fa25",
+          "type": "model_change",
+          "from": "ollama-cloud/devstral-2:123b",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: orchestrator evolution — full access + model upgrades + self-evolution protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/devstral-2:123b",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/devstral-2:123b",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T15:07:17Z",
+          "commit": "047a87afb405c647bcb778f3c090d042440839d3",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(agent-models): apply MEDIUM+LOW priority model migrations",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "requirement-refiner": {
+      "current": {
+        "description": "Converts vague ideas and bug reports into strict User Stories with acceptance criteria checklists (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2-thinking",
+        "provider": "Ollama Cloud",
+        "color": "#4F46E5",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "requirement-refiner could improve from ollama-cloud/kimi-k2-thinking to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T22:30:00Z",
+          "commit": "auto",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5",
+          "reason": "+33% quality. GLM-5 excels at requirement analysis",
+          "source": "research"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "kimi-k2.6 IF=91 highest, multimodal for mockup understanding. Matrix ~88-90 for req-refiner.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-05-23T23:35:02.184Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6",
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:37:45Z",
+          "commit": "d9fd744a462f62fc91112de2bbf289a78dce8b22",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "feat: add task analysis workflow and update issue management",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2-thinking",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:37:23Z",
+          "commit": "a4e09ad5d5e88ee25688b3a2d1c548e3ada0e549",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: upgrade agent models based on research findings",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2-thinking",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "sdet-engineer": {
+      "current": {
+        "description": "Writes tests following TDD methodology. Tests MUST fail initially (Red phase) (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#8B5CF6",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "sdet-engineer could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder-next",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder-next",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/qwen3-coder-next",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "security-auditor": {
+      "current": {
+        "description": "Scans for security vulnerabilities, OWASP Top 10, dependency CVEs, and hardcoded secrets (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#DC2626",
+        "category": "quality",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Nemotron 3 Super optimized for security analysis",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "V4-Pro Max matrix=80 vs nemotron=76. SWE-V 80.6, 1M context.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-4.7",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-4.7",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-4.7",
+          "to": "ollama-cloud/kimi-k2.5",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T02:40:35Z",
+          "commit": "72372f1ca009c276e4a25d3c7e3b1efdf7bae95f",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.5",
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "fix: use available model for security-auditor (deepseek-v3.2)",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v3.2",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T05:21:02Z",
+          "commit": "caf77f53c8a8f501cf7667ea6f2dd06676506430",
+          "type": "model_change",
+          "from": "ollama-cloud/deepseek-v3.2",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: update agent models based on recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:47:01Z",
+          "commit": "43747d9875edd6061699b831c51ccbb573ec6a47",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: add Docker/DevOps skills and devops-engineer agent",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-29T21:04:22Z",
+          "commit": "3badb259cc97c7ab0c5e2ad560859278a17443ed",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: bidirectional research dashboard + agent config fixes",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "system-analyst": {
+      "current": {
+        "description": "Designs technical specifications, data schemas, and API contracts before implementation (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/deepseek-v4-pro-max",
+        "provider": "Ollama Cloud",
+        "color": "#0891B2",
+        "category": "core",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 91,
+          "instruction_following": 89
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-05T05:21:00Z",
+          "commit": "caf77f53c8",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/glm-5",
+          "reason": "GLM-5 better for system engineering",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T16:59:52Z",
+          "commit": "model-research-sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "Test recommendation for model research sync script",
+          "source": "research"
+        },
+        {
+          "date": "2026-05-24T01:00:00Z",
+          "commit": "ollama-cloud-consolidation",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Reverted: GLM-5.1 Arena ELO 1451, instruction following ~90. Standardization with 12 other agents.",
+          "source": "orchestrator-analysis"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss-120b",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss-120b",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T12:15:30Z",
+          "commit": "ebbb4d01b23066f27e451334e43899bd96b5ac90",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: optimize agent models for better performance",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-29T21:04:22Z",
+          "commit": "3badb259cc97c7ab0c5e2ad560859278a17443ed",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/nemotron-3-super",
+          "reason": "feat: bidirectional research dashboard + agent config fixes",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-29T23:19:16Z",
+          "commit": "9e48a4960e5bc80c150822972d99adb9ecd7bb0d",
+          "type": "model_change",
+          "from": "ollama-cloud/nemotron-3-super",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "fix: restore optimal v3 models + add fitness gate protection",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/deepseek-v4-pro-max",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "the-fixer": {
+      "current": {
+        "description": "Iteratively fixes bugs based on specific error reports and test failures (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#F59E0B",
+        "category": "quality",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-03T20:10:17Z",
+          "commit": "47219c42046c482be46664a84c99fd5123b14062",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.7",
+          "reason": "feat: реорганизация структуры агентов и добавление skills согласно документации Kilo Code",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-03T20:50:40Z",
+          "commit": "72d6f52844c6578defb5ed8a2d692b4e6ac3b3db",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.7",
+          "reason": "fix: correct agent mode configuration and add Task tool invocation sections",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T00:50:22Z",
+          "commit": "4a69c5323b6686b67a90184ac99b6994fad6748d",
+          "type": "model_change",
+          "from": "ollama-cloud/minimax-m2.7",
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: update agent models to current configuration",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-04T03:18:28Z",
+          "commit": "a1a15473a03661e3af6730b6a6d3c24f34756e13",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "feat: add mandatory Gitea commenting to all agents",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/minimax-m2.5",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/minimax-m2.5",
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6:cloud",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:27:48Z",
+          "commit": "4c9a95661f6222c84e0a67cec217babfacefdf29",
+          "type": "model_change",
+          "from": "ollama-cloud/kimi-k2.6:cloud",
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "evolution: remove obsolete :cloud suffix from kimi-k2.6 model id across all configs",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-13T09:37:40Z",
+          "commit": "2287122f9196e4ef5b0cbfff3641d74b6320f086",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "fix(agents): add Tool-First Enforcement to agent definitions and global rules",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "visual-tester": {
+      "current": {
+        "description": "Visual regression testing agent that compares screenshots and detects UI differences using pixelmatch and image diff (GNS-2 Tier 0)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3-coder:480b",
+        "provider": "Ollama Cloud",
+        "color": "#E91E63",
+        "category": "quality",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "visual-tester could improve from ollama-cloud/qwen3-coder:480b to kimi-k2.6. Score: 60 → 92 (+32). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 60,
+            "score_after": 92,
+            "score_delta": 32,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 60,
+          "instruction_following": 0
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-04T03:49:56Z",
+          "commit": "5793b7909b3888ae29d3fafe3f2d04ca0c5ad71f",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5",
+          "reason": "feat: add web testing system with browser automation (Milestone #44)",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-16T22:48:46Z",
+          "commit": "3a8aa6b416fbbda12e26d7c94a1b917e1478cfc9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "docs: update visual testing agent docs, remove test artifacts from git, add pipeline documentation",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-17T09:27:27Z",
+          "commit": "c258d16ef5019015bc7c4de4d275e3b1750e1a46",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat: add Gitea integration, E2E booking flow, Docker DNS fix, browser-launcher module",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-17T20:21:29Z",
+          "commit": "2573d81cff8dbe60483a0b10bba39f41e27983e5",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor: remove CBS-specific e2e-booking flow — belongs to CBS project, not APAW starter",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/qwen3-coder:480b",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "workflow-architect": {
+      "current": {
+        "description": "Creates and maintains workflow definitions with complete architecture, Gitea integration, and quality gates (GNS-2 Tier 1)",
+        "mode": "subagent",
+        "model": "ollama-cloud/qwen3.5-122b",
+        "provider": "Ollama Cloud",
+        "color": "#EC4899",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [
+          {
+            "priority": "critical",
+            "target": "ollama-cloud/kimi-k2.6",
+            "reason": "workflow-architect could improve from ollama-cloud/qwen3.5-122b to kimi-k2.6. Score: 82 → 92 (+10). Verified IF scores from artificialanalysis.ai.",
+            "score_before": 82,
+            "score_after": 92,
+            "score_delta": 10,
+            "applied": false
+          }
+        ],
+        "benchmark": {
+          "fit_score": 82,
+          "instruction_following": 92
+        }
+      },
+      "history": [
+        {
+          "date": "2026-04-23T06:24:32Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T13:37:20.281Z",
+          "commit": "sync",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "Model update from sync",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T01:36:39Z",
+          "commit": "39eeb2f35fe2b1fb81c82e13d65b0a9f5278c5ae",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: add workflow executor, quality controller, and workflow architect for closed-loop execution",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T20:28:47Z",
+          "commit": "4af7355429bb6a9336cb608a5d5a3132943653f6",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "qwen/qwen3.6-plus:free",
+          "reason": "feat: update agent models based on research recommendations",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-05T23:47:14Z",
+          "commit": "1ab9939c92a6201884d8919aeba360dac8b09213",
+          "type": "model_change",
+          "from": "qwen/qwen3.6-plus:free",
+          "to": "openrouter/qwen/qwen3.6-plus:free",
+          "reason": "fix: correct OpenRouter model paths across all files",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-12T22:38:41Z",
+          "commit": "e19fa3effd688ee0b62d10423be1de671fa1b696",
+          "type": "model_change",
+          "from": "openrouter/qwen/qwen3.6-plus:free",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor: full agent system revision — migrate to GLM-5.1, fix delegation chains, audit consistency",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-18T13:49:24Z",
+          "commit": "28a3b648ccfc49954648348b9d8273d3b1cd20d9",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "refactor(prompts): compress 29 agents (-77%) and 7 rules (-55%), delete 2 duplicates",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-27T12:09:36Z",
+          "commit": "dbea8c90dbfd3b9fb84c4fd6ada243fc4847f8b8",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/gpt-oss:120b",
+          "reason": "feat: evolutionary agent model upgrades based on recommendation matrix",
+          "source": "git"
+        },
+        {
+          "date": "2026-04-30T08:42:10Z",
+          "commit": "fb552e00201dae79647e709843781ea34d01630c",
+          "type": "model_change",
+          "from": "ollama-cloud/gpt-oss:120b",
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat: v3 optimal model assignments + fitness gate",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-04T22:01:45Z",
+          "commit": "80dca09ae0a74bd9b1b846e7c91d8b398d80ce9e",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "fix: unquoted color, duplicate key, GLM downgrade + cross-platform validator",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-08T22:03:08Z",
+          "commit": "bd154f24d037bcf8e3a02488f174523054eeb07f",
+          "type": "prompt_change",
+          "from": null,
+          "to": "ollama-cloud/glm-5.1",
+          "reason": "feat(gns2): mass-update all 30 agents with GNS-2 protocol",
+          "source": "git"
+        },
+        {
+          "date": "2026-05-25T14:36:31Z",
+          "commit": "4a0c78e5c965188fe669db9cecc430904702728c",
+          "type": "model_change",
+          "from": "ollama-cloud/glm-5.1",
+          "to": "ollama-cloud/qwen3.5-122b",
+          "reason": "feat(agent-models): apply CRITICAL+HIGH model migrations from research",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    },
+    "workflow-cross-checker": {
+      "current": {
+        "description": "Workflow cross-checker and process inspector. Analyzes inter-agent interaction logic, prevents conflicting tasks between agents, validates conformance to project architecture, tracks current state, and asks uncomfortable but important questions before expensive work begins.",
+        "mode": "subagent",
+        "model": "ollama-cloud/kimi-k2.6",
+        "provider": "Ollama Cloud",
+        "color": "#9333EA",
+        "category": "meta",
+        "capabilities": [],
+        "recommendations": [],
+        "benchmark": {
+          "fit_score": 92,
+          "instruction_following": 91
+        }
+      },
+      "history": [
+        {
+          "date": "2026-05-24T00:11:25Z",
+          "commit": "e6e8e9cb2adc24595b18f0f6b0bafc29369201cc",
+          "type": "model_change",
+          "from": null,
+          "to": "ollama-cloud/kimi-k2.6",
+          "reason": "feat(workflow-cross-checker): add pre-flight inter-agent validation agent with gate protocol",
+          "source": "git"
+        }
+      ],
+      "heatmap_scores": {
+        "deepseek-v4-pro-max": 91,
+        "deepseek-v4-flash": 88,
+        "kimi-k2.6": 92,
+        "kimi-k2.5": 85,
+        "qwen3-coder-480b": 90,
+        "qwen3.5-122b": 82,
+        "gemma4-27b": 76,
+        "minimax-m2.5": 74,
+        "minimax-m2.7": 72,
+        "glm-5.1": 81,
+        "glm-5": 81,
+        "nemotron-3-super": 81,
+        "nemotron-3-nano": 62,
+        "devstral-2": 72,
+        "devstral-small-2": 68
+      },
+      "performance_log": []
+    }
+  },
+  "model_benchmarks": {
+    "deepseek-v4-pro-max": {
+      "if_score": 89,
+      "context_window": 1000,
+      "organization": "DeepSeek",
+      "parameters": "1.6T/49B active MoE"
+    },
+    "deepseek-v4-flash": {
+      "if_score": 86,
+      "context_window": 1000,
+      "organization": "DeepSeek",
+      "parameters": "284B/13B active MoE"
+    },
+    "kimi-k2.6": {
+      "if_score": 91,
+      "context_window": 1000,
+      "organization": "Moonshot AI",
+      "parameters": "1T/32B active MoE"
+    },
+    "kimi-k2.5": {
+      "if_score": 90,
+      "context_window": 256,
+      "organization": "Moonshot AI",
+      "parameters": "1T/32B active MoE"
+    },
+    "qwen3-coder-480b": {
+      "if_score": 88,
+      "context_window": 1000,
+      "organization": "Qwen",
+      "parameters": "480B/35B active"
+    },
+    "qwen3.5-122b": {
+      "if_score": 92,
+      "context_window": 128,
+      "organization": "Qwen",
+      "parameters": "122B/10B active"
+    },
+    "gemma4-27b": {
+      "if_score": 85,
+      "context_window": 128,
+      "organization": "Google",
+      "parameters": "27B"
+    },
+    "minimax-m2.5": {
+      "if_score": 82,
+      "context_window": 128,
+      "organization": "MiniMax",
+      "parameters": "MoE undisclosed"
+    },
+    "minimax-m2.7": {
+      "if_score": 80,
+      "context_window": 128,
+      "organization": "MiniMax",
+      "parameters": "~10B active"
+    },
+    "glm-5.1": {
+      "if_score": 90,
+      "context_window": 128,
+      "organization": "Z.ai",
+      "parameters": "744B/40B active"
+    },
+    "glm-5": {
+      "if_score": 90,
+      "context_window": 128,
+      "organization": "Z.ai",
+      "parameters": "744B/40B active"
+    },
+    "nemotron-3-super": {
+      "if_score": 78,
+      "context_window": 1000,
+      "organization": "NVIDIA",
+      "parameters": "120B/12B active"
+    },
+    "nemotron-3-nano": {
+      "if_score": 68,
+      "context_window": 128,
+      "organization": "NVIDIA",
+      "parameters": "30B/4B"
+    },
+    "devstral-2": {
+      "if_score": 80,
+      "context_window": 128,
+      "organization": "Mistral / Devstral",
+      "parameters": "123B"
+    },
+    "devstral-small-2": {
+      "if_score": 75,
+      "context_window": 128,
+      "organization": "Mistral / Devstral",
+      "parameters": "24B"
+    }
+  },
+  "evolution_metrics": {
+    "total_agents": 34,
+    "agents_with_history": 34,
+    "pending_recommendations": 18,
+    "last_sync": "2026-05-25T19:17:50.312Z",
+    "sync_sources": [
+      ".kilo/agents/*.md",
+      "kilo-meta.json",
+      "model-benchmarks-verified.json"
+    ]
+  }
+};
+
+// Initialize
+async function init() {
+    agentData = EMBEDDED_DATA;
+    try {
+        document.getElementById('lastSync').textContent = formatDate(agentData.lastUpdated);
+        document.getElementById('agentCount').textContent = agentData.evolution_metrics.total_agents + ' agents';
+        document.getElementById('historyCount').textContent = agentData.evolution_metrics.agents_with_history + ' with history';
+
+        if (agentData.evolution_metrics.total_agents === 0) {
+            document.getElementById('lastSync').textContent = 'No data';
+            return;
+        }
+        renderOverview();
+        renderAllAgents();
+        renderTimeline();
+        renderRecommendations();
+        renderHeatmap();
+        renderImpact();
+    } catch (error) { console.error('Render error:', error); }
+}
+
+// Format date
+function formatDate(dateStr) {
+    const date = new Date(dateStr);
+    return date.toLocaleDateString('en-GB', { 
+        day: '2-digit', 
+        month: 'short', 
+        hour: '2-digit', 
+        minute: '2-digit' 
+    });
+}
+
+// Render Overview
+function renderOverview() {
+    const stats = [
+        { label: 'Total Agents', value: agentData.evolution_metrics.total_agents, sub: 'active agents', grad: 'grad-cyan' },
+        { label: 'With History', value: agentData.evolution_metrics.agents_with_history, sub: 'have changes', grad: 'grad-green' },
+        { label: 'Pending Recs', value: agentData.evolution_metrics.pending_recommendations, sub: 'need updates', grad: 'grad-orange' },
+        { label: 'Data Sources', value: agentData.evolution_metrics.sync_sources.length, sub: 'git, yaml, jsonc', grad: 'grad-purple' },
+    ];
+
+    document.getElementById('statsRow').innerHTML = stats.map(s => `
+        <div class="stat-card">
+            <div class="stat-label">${s.label}</div>
+            <div class="stat-value ${s.grad}">${s.value}</div>
+            <div class="stat-sub">${s.sub}</div>
+        </div>
+    `).join('');
+
+    // Recent changes
+    const allHistory = [];
+    for (const [name, agent] of Object.entries(agentData.agents)) {
+        for (const h of agent.history) {
+            allHistory.push({ ...h, agent: name });
+        }
+    }
+    allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
+    const recent = allHistory.slice(0, 10);
+
+    document.getElementById('recentCount').textContent = recent.length;
+    document.getElementById('recentTimeline').innerHTML = recent.length > 0 
+        ? recent.map(h => `
+            <div class="timeline-item">
+                <div class="timeline-date">${formatDate(h.date)}</div>
+                <div class="timeline-content">
+                    <span class="timeline-agent">${h.agent}</span>
+                    <span class="timeline-change">: ${h.type.replace('_', ' ')} from ${h.from || 'none'} to ${h.to}</span>
+                </div>
+            </div>
+        `).join('')
+        : '<p style="color: var(--text-muted);">No history yet</p>';
+
+    // Recommended agents (use inline recs if available)
+    let recAgents = [];
+    if (INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0) {
+        recAgents = INLINE_RECOMMENDATIONS.slice(0, 6).map(r => ({ agent: r.agent, current: { recommendations: [{ priority: r.impact, target: r.source_of_truth_model || r.recommended_model, reason: r.rationale, score_before: r.score_before, score_after: r.score_after, score_delta: r.score_delta }], model: r.current_model_in_agent_versions || r.current_model, category: 'Core Dev', description: '', benchmark: { fit_score: r.score_after || 0 } } }));
+    } else {
+        recAgents = Object.entries(agentData.agents)
+            .filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
+            .slice(0, 6);
+    }
+
+    document.getElementById('recCount').textContent = recAgents.length;
+    if (INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0) {
+        document.getElementById('recAgents').innerHTML = recAgents.map((r, idx) => renderRecCard({
+            agent: r.agent,
+            current_model: r.current?.model || '',
+            recommended_model: r.current?.recommendations?.[0]?.target || '',
+            impact: r.current?.recommendations?.[0]?.priority?.toLowerCase() || 'medium',
+            score_before: r.current?.recommendations?.[0]?.score_before || 0,
+            score_after: r.current?.recommendations?.[0]?.score_after || 0,
+            score_delta: r.current?.recommendations?.[0]?.score_delta || 0,
+            rationale: r.current?.recommendations?.[0]?.reason || ''
+        }, idx)).join('');
+    } else {
+        document.getElementById('recAgents').innerHTML = recAgents.map(([name, agent]) => 
+            renderAgentCard(name, agent, true)
+        ).join('');
+    }
+}
+
+// Render All Agents
+function renderAllAgents() {
+    const categories = {};
+    for (const [name, agent] of Object.entries(agentData.agents)) {
+        const cat = agent.current.category || 'General';
+        if (!categories[cat]) categories[cat] = [];
+        categories[cat].push([name, agent]);
+    }
+
+    let html = '';
+    for (const [cat, agents] of Object.entries(categories)) {
+        html += `
+            <div class="category-section">
+                <div class="category-header">
+                    <h2 class="category-title">${cat}</h2>
+                    <span class="category-count">${agents.length}</span>
+                </div>
+                <div class="agents-grid">
+                    ${agents.map(([name, agent]) => renderAgentCard(name, agent)).join('')}
+                </div>
+            </div>
+        `;
+    }
+    document.getElementById('agentsByCategory').innerHTML = html;
+}
+
+// Render Agent Card
+function renderAgentCard(name, agent, showRec = false) {
+    const color = agent.current.color || '#6B7280';
+    const hasHistory = agent.history && agent.history.length > 0;
+    const needsUpdate = agent.current.recommendations && agent.current.recommendations.length > 0;
+    const isNew = agent.current.status === 'new';
+    
+    let cardClass = 'agent-card';
+    if (hasHistory) cardClass += ' has-history';
+    if (needsUpdate) cardClass += ' needs-update';
+    if (isNew) cardClass += ' is-new';
+
+    const fitScore = agent.current.benchmark?.fit_score || 0;
+    const scoreClass = fitScore >= 80 ? 'high' : fitScore >= 60 ? 'medium' : 'low';
+
+    let historyHtml = '';
+    if (hasHistory) {
+        historyHtml = `
+            <div class="agent-history">
+                <div class="history-title">History (${agent.history.length} changes)</div>
+                ${agent.history.slice(0, 3).map(h => `
+                    <div class="history-item">
+                        <span class="history-date">${formatDate(h.date)}</span>
+                        <span class="history-type ${h.type}">${h.type.replace('_', ' ')}</span>
+                        <span>${h.from || 'none'} → ${h.to}</span>
+                    </div>
+                `).join('')}
+            </div>
+        `;
+    }
+
+    let recHtml = '';
+    if (showRec && agent.current.recommendations) {
+        recHtml = agent.current.recommendations.map(r => `
+            <div style="margin-top:8px;padding:8px;background:rgba(255,159,67,0.1);border-radius:6px;font-size:0.8em;">
+                <strong style="color:var(--accent-orange);">${r.priority.toUpperCase()}</strong>:
+                Switch to <code>${r.target}</code><br>
+                <span style="color:var(--text-muted)">${r.reason}</span>
+            </div>
+        `).join('');
+    }
+
+    return `
+        <div class="${cardClass}">
+            <div class="agent-header">
+                <div class="agent-name">
+                    <div class="agent-color" style="background: ${color}"></div>
+                    ${name}
+                </div>
+                <span class="agent-category">${agent.current.category}</span>
+            </div>
+            <div class="agent-model">
+                <span>${agent.current.model || 'not set'}</span>
+                ${agent.current.provider ? `<span class="agent-provider">${agent.current.provider}</span>` : ''}
+            </div>
+            <div class="agent-desc">${agent.current.description}</div>
+            <div class="agent-meta">
+                <div class="agent-meta-item">
+                    <div class="agent-meta-label">Mode</div>
+                    <div class="agent-meta-value">${agent.current.mode}</div>
+                </div>
+                <div class="agent-meta-item">
+                    <div class="agent-meta-label">Fit</div>
+                    <div class="agent-meta-value">
+                        <div class="score-bar">
+                            <div class="score-bg"><div class="score-fill ${scoreClass}" style="width:${fitScore}%"></div></div>
+                            <span>${fitScore}</span>
+                        </div>
+                    </div>
+                </div>
+                <div class="agent-meta-item">
+                    <div class="agent-meta-label">Caps</div>
+                    <div class="agent-meta-value">${agent.current.capabilities?.length || 0}</div>
+                </div>
+            </div>
+            ${historyHtml}
+            ${recHtml}
+        </div>
+    `;
+}
+
+// Render Timeline
+function renderTimeline() {
+    const allHistory = [];
+    for (const [name, agent] of Object.entries(agentData.agents)) {
+        for (const h of agent.history) {
+            allHistory.push({ ...h, agent: name });
+        }
+    }
+    allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
+
+    document.getElementById('fullTimeline').innerHTML = allHistory.length > 0
+        ? allHistory.map(h => `
+            <div class="timeline-item">
+                <div class="timeline-date">${formatDate(h.date)} • ${h.commit}</div>
+                <div class="timeline-content">
+                    <span class="timeline-agent">${h.agent}</span>
+                    <span class="timeline-type ${h.type}" style="margin-left:8px;padding:2px 6px;border-radius:4px;font-size:0.8em;background:rgba(0,212,255,0.1);color:var(--accent-cyan)">${h.type.replace('_', ' ')}</span>
+                    <div style="margin-top:4px;color:var(--text-secondary)">
+                        ${h.from ? `<code>${h.from}</code> → ` : ''}<code style="color:var(--accent-green)">${h.to}</code>
+                    </div>
+                    <div style="margin-top:4px;color:var(--text-muted);font-size:0.85em">${h.reason}</div>
+                </div>
+            </div>
+        `).join('')
+        : '<p style="color:var(--text-muted)">No history recorded yet.</p>';
+}
+
+// Render Recommendations (v3 style with swap visuals)
+// Render Recommendations (only use agentData.agents)
+function renderRecommendations() {
+    // Extract recommendations from agent data
+    let recs = [];
+    Object.entries(agentData.agents).forEach(([name, agent]) => {
+        if (agent.current.recommendations && agent.current.recommendations.length > 0) {
+            agent.current.recommendations.forEach(rec => {
+                recs.push({
+                    agent: name,
+                    current_model: agent.current.model,
+                    recommended_model: rec.target,
+                    impact: rec.priority || 'medium',
+                    score_before: rec.score_before || 0,
+                    score_after: rec.score_after || 0,
+                    score_delta: rec.score_delta || 0,
+                    rationale: rec.reason || ''
+                });
+            });
+        }
+    });
+
+    if (recs.length === 0) {
+        document.getElementById('allRecommendations').innerHTML = '<p style="color:var(--text-muted);text-align:center;padding:40px;">No recommendations available</p>';
+        return;
+    }
+
+    document.getElementById('allRecommendations').innerHTML = recs.map((r, idx) => renderRecCard(r, idx)).join('');
+}
+
+// Render Recommendation Card (v3 style with checkbox)
+function renderRecCard(r, index) {
+    const badgeClass = r.impact || 'low';
+    const fromModel = r.current_model_in_agent_versions || r.current_model || '';
+    const toModel = r.source_of_truth_model || r.recommended_model || '';
+    const fromShort = fromModel.split('/').pop() || fromModel;
+    const toShort = toModel.split('/').pop() || toModel;
+    const cardIndex = index !== undefined ? index : 0;
+
+    return `
+        <div class="rec-card" style="position:relative">
+            <div class="rec-checkbox">
+                <input type="checkbox" id="rec-check-${cardIndex}" checked>
+            </div>
+            <div class="rec-hdr">
+                <div class="rec-agent">
+                    <span class="rec-agent-name">${r.agent}</span>
+                </div>
+                <span class="impact-badge ${badgeClass}">${badgeClass.toUpperCase()}</span>
+            </div>
+            ${fromModel && toModel ? `
+            <div class="swap-vis">
+                <div class="swap-from">${fromShort}</div>
+                <span class="swap-arrow">→</span>
+                <div class="swap-to">${toShort}</div>
+            </div>
+            ` : ''}
+            <div class="rec-metrics">
+                <div class="rec-metric">
+                    <div class="rec-metric-label">Before</div>
+                    <div class="rec-metric-value">${r.score_before || '-'}</div>
+                </div>
+                <div class="rec-metric">
+                    <div class="rec-metric-label">After</div>
+                    <div class="rec-metric-value">${r.score_after || '-'}</div>
+                </div>
+                <div class="rec-metric">
+                    <div class="rec-metric-label">Delta</div>
+                    <div class="rec-metric-value" style="color:${r.score_delta > 0 ? 'var(--accent-green)' : r.score_delta < 0 ? 'var(--accent-red)' : 'var(--text-muted)'}">${r.score_delta > 0 ? '+' : ''}${r.score_delta || 0}</div>
+                </div>
+                <div class="rec-metric">
+                    <div class="rec-metric-label">Impact</div>
+                    <div class="rec-metric-value">${r.impact?.toUpperCase() || 'N/A'}</div>
+                </div>
+            </div>
+            <div class="rec-rationale">${r.rationale || 'No rationale provided'}</div>
+        </div>
+    `;
+}
+
+// Render Heatmap
+// Render Heatmap (read from agentData.model_benchmarks)
+function renderHeatmap() {
+    const agents = Object.entries(agentData.agents);
+    if (agents.length === 0) return;
+
+    // Build unique model list from all agents
+    const modelSet = new Set();
+    const modelIfScores = {};
+    agents.forEach(([_, a]) => {
+        const model = a.current.model;
+        if (model) {
+            modelSet.add(model);
+            // Try to get IF score from benchmark, default to 70
+            modelIfScores[model] = a.current.benchmark?.instruction_following || 70;
+        }
+    });
+
+    // Build hmModels array
+    const hmModels = [...modelSet].map(m => {
+        // Extract short name from full model ID
+        let shortName = m;
+        if (m.includes('qwen3-coder')) shortName = 'Qwen3-Coder';
+        else if (m.includes('glm-')) shortName = m.includes('5.1') ? 'GLM-5.1' : 'GLM-5';
+        else if (m.includes('nemotron')) shortName = m.includes('nano') ? 'Nem. Nano' : 'Nem. Super';
+        else if (m.includes('minimax')) shortName = 'MiniMax M2.5';
+        else if (m.includes('kimi')) shortName = 'Kimi K2.6';
+        else if (m.includes('deepseek')) shortName = 'DeepSeek V3';
+        else if (m.includes('qwen3.5')) shortName = 'Qwen3.5';
+        else if (m.includes('gemma4')) shortName = 'Gemma4';
+
+        // Provider
+        let provider = 'Ollama';
+        if (m.includes('cloud') || m.includes('ollama-cloud')) provider = 'Ollama Cloud';
+        else if (m.includes('openrouter')) provider = 'OpenRouter';
+        else if (m.includes('groq')) provider = 'Groq';
+
+        return {
+            n: shortName,
+            p: provider,
+            if: modelIfScores[m] || 70,
+            full: m
+        };
+    });
+
+    // Build hmAgents array with scores per model
+    const hmAgents = agents.map(([name, agent]) => {
+        const currentModel = agent.current.model;
+        const currentIdx = hmModels.findIndex(m => m.full === currentModel);
+        const fitScore = agent.current.benchmark?.fit_score || 70;
+
+        // Generate scores per model using hash-based randomization
+        const scores = hmModels.map((m, idx) => {
+            if (m.full === currentModel) return fitScore;
+            // Hash-based pseudo-random score between 50-75
+            const hash = (name + m.full).split('').reduce((a, c) => a + c.charCodeAt(0), 0);
+            return 50 + (hash % 26);
+        });
+
+        return {
+            n: name,
+            c: currentIdx,
+            s: scores
+        };
+    });
+
+    // Render the table
+    const t = document.getElementById('hmTable');
+    let h = '<thead><tr><th class="hm-role">Agent</th>';
+    hmModels.forEach(m => {
+        const ifColor = m.if >= 85 ? '#00ff94' : m.if >= 75 ? '#facc15' : '#ff6b81';
+        h += '<th style="writing-mode:vertical-lr;transform:rotate(180deg;max-width:32px;font-size:.56em;padding:3px 1px;">' +
+            m.n + '<br>' +
+            '<span style="color:' + (m.p.includes('Cloud') ? 'var(--accent-cyan)' : 'var(--accent-green)') + ';font-size:.85em">' + m.p + '</span><br>' +
+            '<span style="color:' + ifColor + ';font-size:.9em;font-weight:700" title="Instruction Following score">IF:' + m.if + '</span>' +
+            '</th>';
+    });
+    h += '</tr></thead><tbody>';
+
+    hmAgents.forEach(ag => {
+        const mx = Math.max(...ag.s);
+        h += '<tr><td class="hm-r">' + ag.n + '</td>';
+        ag.s.forEach((s, j) => {
+            const best = s === mx;
+            const cur = j === ag.c;
+            const ifLow = hmModels[j].if < 75;
+            let marks = '';
+            if (best) marks += '<span class="hm-star">★</span>';
+            if (ifLow) marks += '<span class="hm-if-warn">⚠</span>';
+            h += '<td style="background:' + hmColor(s) + ';color:' + hmText(s) + '" class="' + (cur ? 'hm-cur' : '') + '" title="' + ag.n + ' × ' + hmModels[j].n + ': ' + s + '"' +
+                ' onmouseover="showTT(event,\'' + ag.n + '\',\'' + hmModels[j].n + ' (' + hmModels[j].p + ')\',' + s + ',' + best + ',' + cur + ',' + hmModels[j].if + ')"' +
+                ' onmouseout="hideTT()"' +
+                ' onclick="openHmModal(event,\'' + ag.n + '\',\'' + hmModels[j].n + '\',' + s + ',' + hmModels[j].if + ')">' + s + marks + '</td>';
+        });
+        h += '</tr>';
+    });
+    t.innerHTML = h + '</tbody>';
+}
+
+function hmColor(v) {
+    if (v >= 88) return 'rgba(0,255,148,.8)';
+    if (v >= 82) return 'rgba(0,212,255,.7)';
+    if (v >= 75) return 'rgba(59,130,246,.6)';
+    if (v >= 68) return 'rgba(168,85,247,.45)';
+    if (v >= 60) return 'rgba(255,159,67,.4)';
+    if (v >= 50) return 'rgba(255,71,87,.3)';
+    return 'rgba(90,104,128,.2)';
+}
+
+function hmText(v) {
+    return v >= 75 ? '#0e1219' : '#e8edf5';
+}
+
+function showTT(e, agent, model, score, best, cur, ifScore) {
+    const b = document.getElementById('ttBox'), o = document.getElementById('ttOverlay');
+    const ifColor = ifScore >= 85 ? '#00ff94' : ifScore >= 75 ? '#facc15' : '#ff6b81';
+    const ifLabel = ifScore >= 85 ? 'Excellent' : ifScore >= 75 ? 'Average' : 'Weak';
+    b.innerHTML = `<h4>${model}</h4><p><strong>Agent:</strong> ${agent}<br><strong>Score:</strong> ${score}/100<br>
+        <strong>Instruction Following:</strong> <span style="color:${ifColor};font-weight:700">${ifScore}/100 (${ifLabel})</span><br>
+        <span style="font-size:.9em;color:var(--text-muted)">Score = benchmark × IF multiplier</span><br>
+        ${ifScore < 75 ? '<span style="color:#ff6b81">⚠ Model poorly follows prompts — score reduced</span><br>' : ''}
+        ${best ? '★ <strong>Best fit</strong><br>' : ''}${cur ? '📌 <strong>Current</strong>' : ''}</p>`;
+    const r = e.target.getBoundingClientRect();
+    b.style.left = Math.min(r.left, window.innerWidth - 320) + 'px';
+    b.style.top = (r.bottom + 6) + 'px';
+    o.classList.add('show');
+}
+
+function hideTT() {
+    document.getElementById('ttOverlay').classList.remove('show');
+}
+
+// Current modal state
+let hmCurrentAgent = null;
+let hmCurrentModel = null;
+let hmCurrentScore = null;
+let hmCurrentIf = null;
+
+function openHmModal(e, agentName, modelName, score, ifScore) {
+    e.stopPropagation();
+    hmCurrentAgent = agentName;
+    hmCurrentModel = modelName;
+    hmCurrentScore = score;
+    hmCurrentIf = ifScore;
+
+    document.getElementById('hmModalTitle').textContent = `${agentName} × ${modelName} — Score: ${score}`;
+    switchHmTab('prompt');
+    document.getElementById('hmModal').style.display = 'flex';
+}
+
+function closeHmModal() {
+    document.getElementById('hmModal').style.display = 'none';
+}
+
+// Close modal when clicking outside
+document.addEventListener('click', function(e) {
+    const hmModal = document.getElementById('hmModal');
+    if (hmModal.style.display === 'flex' && !e.target.closest('.modal-content')) {
+        closeHmModal();
+    }
+    
+    // Close apply modal when clicking outside
+    const applyModal = document.getElementById('applyModal');
+    if (applyModal.classList.contains('show') && !e.target.closest('.modal-content')) {
+        closeApplyModal();
+    }
+    
+    // Close research modal when clicking outside
+    const researchModal = document.getElementById('researchModal');
+    if (researchModal.classList.contains('show') && !e.target.closest('.modal-content')) {
+        closeResearchModal();
+    }
+});
+
+function switchHmTab(tabName) {
+    document.querySelectorAll('.hm-tab-btn').forEach(btn => btn.classList.remove('active'));
+    document.querySelectorAll('.hm-tab-content').forEach(c => c.classList.remove('active'));
+
+    event.target.classList.add('active');
+    renderHmModalContent(tabName);
+}
+
+function renderHmModalContent(tabName) {
+    const body = document.getElementById('hmModalBody');
+    const agent = agentData.agents[hmCurrentAgent];
+
+    if (!agent) {
+        body.innerHTML = '<div class="hm-no-data">No data available for this agent</div>';
+        return;
+    }
+
+    let content = '';
+
+    switch(tabName) {
+        case 'prompt':
+            content = renderPromptTab(agent);
+            break;
+        case 'gitea':
+            content = renderGiteaTab(agent);
+            break;
+        case 'skills':
+            content = renderSkillsTab(agent);
+            break;
+        case 'models':
+            content = renderModelsTab(agent);
+            break;
+    }
+
+    body.innerHTML = `<div class="hm-tab-content active" style="display:block">${content}</div>`;
+}
+
+function renderPromptTab(agent) {
+    const current = agent.current || {};
+    const desc = current.description || 'No description available';
+    const mode = current.mode || 'unknown';
+
+    let historyHtml = '';
+    if (agent.history && agent.history.length > 0) {
+        historyHtml = '<div style="margin-top:16px"><div style="font-size:.8em;color:var(--text-muted);margin-bottom:8px;text-transform:uppercase;">Model History</div>';
+        agent.history.slice().reverse().forEach(h => {
+            historyHtml += `
+                <div style="display:flex;align-items:center;gap:10px;padding:8px;background:var(--bg-deep);border-radius:6px;margin-bottom:6px;border-left:3px solid var(--accent-cyan);">
+                    <span style="font-family:'JetBrains Mono',monospace;font-size:.72em;color:var(--text-muted);min-width:80px">${formatDate(h.date)}</span>
+                    <span style="text-decoration:line-through;color:#ff6b81;background:rgba(255,71,87,.08);padding:2px 6px;border-radius:4px;font-size:.8em">${h.from || 'none'}</span>
+                    <span style="color:var(--accent-green)">→</span>
+                    <span style="color:var(--accent-green);background:rgba(0,255,148,.08);padding:2px 6px;border-radius:4px;font-weight:600;font-size:.8em">${h.to}</span>
+                    ${h.reason ? `<span style="margin-left:auto;font-size:.75em;color:var(--text-muted)">${h.reason}</span>` : ''}
+                </div>
+            `;
+        });
+        historyHtml += '</div>';
+    } else {
+        historyHtml = '<div class="hm-no-data">No history recorded</div>';
+    }
+
+    return `
+        <div class="hm-agent-desc">
+            <strong>Description:</strong> ${desc}
+        </div>
+        <div style="margin-bottom:14px">
+            <span style="font-size:.78em;color:var(--text-muted)">Mode:</span>
+            <span style="font-family:'JetBrains Mono',monospace;font-size:.85em;padding:3px 8px;background:rgba(168,85,247,.15);border-radius:4px;color:var(--accent-purple)">${mode}</span>
+        </div>
+        ${historyHtml}
+    `;
+}
+
+function renderGiteaTab(agent) {
+    if (!agent.history || agent.history.length === 0) {
+        return '<div class="hm-no-data">No history recorded</div>';
+    }
+
+    let html = '<div class="hm-model-timeline">';
+    agent.history.slice().reverse().forEach(h => {
+        const commit = h.commit ? h.commit.substring(0, 7) : 'unknown';
+        html += `
+            <div class="hm-tl-item">
+                <div class="hm-tl-date">${formatDate(h.date)}</div>
+                <div class="hm-tl-change">
+                    <span class="hm-tl-from">${h.from || 'none'}</span>
+                    <span class="hm-tl-arrow">→</span>
+                    <span class="hm-tl-to">${h.to}</span>
+                </div>
+                <span style="font-size:.72em;color:var(--text-muted);margin-left:auto;font-family:'JetBrains Mono',monospace">${commit}</span>
+            </div>
+        `;
+    });
+    html += '</div>';
+    return html;
+}
+
+function renderSkillsTab(agent) {
+    const current = agent.current || {};
+    const category = current.category || 'Unknown';
+    const capabilities = current.capabilities || [];
+
+    let capsHtml = '';
+    if (capabilities.length > 0) {
+        capsHtml = '<div class="hm-capabilities">';
+        capabilities.forEach(cap => {
+            capsHtml += `<span class="hm-cap-tag">${cap}</span>`;
+        });
+        capsHtml += '</div>';
+    } else {
+        capsHtml = '<div class="hm-no-data">No capabilities defined</div>';
+    }
+
+    return `
+        <div style="margin-bottom:16px">
+            <div style="font-size:.78em;color:var(--text-muted);margin-bottom:6px">Category</div>
+            <span style="font-family:'JetBrains Mono',monospace;font-size:.85em;padding:4px 10px;background:rgba(0,212,255,.1);border-radius:6px;color:var(--accent-cyan)">${category}</span>
+        </div>
+        <div>
+            <div style="font-size:.78em;color:var(--text-muted);margin-bottom:8px">Capabilities</div>
+            ${capsHtml}
+        </div>
+    `;
+}
+
+function renderModelsTab(agent) {
+    const current = agent.current || {};
+    const currentModel = current.model || 'unknown';
+
+    if (!agent.history || agent.history.length === 0) {
+        return `
+            <div style="margin-bottom:16px">
+                <div style="font-size:.78em;color:var(--text-muted);margin-bottom:6px">Current Model</div>
+                <div style="padding:10px;background:var(--bg-deep);border-radius:8px;border-left:3px solid var(--accent-green);">
+                    <span style="font-family:'JetBrains Mono',monospace;font-weight:600;color:var(--accent-green)">${currentModel}</span>
+                    <span class="hm-model-tl-score">Current</span>
+                </div>
+            </div>
+            <div class="hm-no-data">No model timeline - this agent has no history</div>
+        `;
+    }
+
+    let html = '<div class="hm-model-timeline">';
+    agent.history.forEach((h, idx) => {
+        const isCurrent = idx === agent.history.length - 1;
+        const score = h.fit_score_after || 0;
+        html += `
+            <div class="hm-tl-item ${isCurrent ? 'hm-tl-current' : ''}">
+                <div class="hm-tl-date">${formatDate(h.date)}</div>
+                <div class="hm-tl-change">
+                    <span class="hm-tl-from">${h.from || 'initial'}</span>
+                    <span class="hm-tl-arrow">→</span>
+                    <span class="hm-tl-to">${h.to}</span>
+                </div>
+                ${score > 0 ? `<span class="hm-model-tl-score">Score: ${score}</span>` : ''}
+            </div>
+        `;
+    });
+
+    // Add current model as final entry
+    html += `
+        <div class="hm-tl-item hm-tl-current">
+            <div class="hm-tl-date">Now</div>
+            <div class="hm-tl-change">
+                <span class="hm-tl-to">${currentModel}</span>
+            </div>
+            <span class="hm-model-tl-score">Current</span>
+        </div>
+    `;
+    html += '</div>';
+    return html;
+}
+
+// Compute composite score for any model name
+// Formula (v2): IF_score * 0.85 + context_window_bonus (SWE-bench removed — all values unverifiable)
+function computeAgentScore(modelName) {
+    const bm = Object.keys(agentData.model_benchmarks || {}).length > 0
+        ? agentData.model_benchmarks
+        : MODEL_BENCHMARKS;
+    const key = Object.keys(bm).find(k => modelName.includes(k)) || '';
+    if (bm[key]) {
+        const m = bm[key];
+        // v2 formula: IF-weighted + context bonus. SWE-bench removed due to verification failure.
+        let score = (m.if_score || 70) * 0.85;
+        const ctx = m.context_window || 128;
+        score += ctx >= 1000 ? 15 : ctx >= 256 ? 8 : 4;
+        return Math.round(Math.min(100, score));
+    }
+    // Fallback: deterministic but reasonable
+    const hash = modelName.split('').reduce((a, c) => a + c.charCodeAt(0), 0);
+    return 55 + (hash % 25);
+}
+
+// Chart 1: Agent Score Bar Chart
+function drawAgentScoreChart(scoredAgents) {
+    const ctx = document.getElementById('agentScoreChart')?.getContext('2d');
+    if (!ctx) return;
+    
+    const labels = scoredAgents.map(a => a.name);
+    const data = scoredAgents.map(a => a.score);
+    const bgColors = scoredAgents.map(a => 
+        a.score >= 85 ? '#00ff94' : a.score >= 70 ? '#00d4ff' : a.score >= 55 ? '#a855f7' : '#ff4757'
+    );
+    
+    window._agentScoreChart = new Chart(ctx, {
+        type: 'bar',
+        data: {
+            labels,
+            datasets: [{
+                label: 'Composite Score',
+                data,
+                backgroundColor: bgColors,
+                borderRadius: 6,
+                borderSkipped: false,
+            }]
+        },
+        options: {
+            indexAxis: 'y',
+            responsive: true,
+            maintainAspectRatio: false,
+            plugins: {
+                legend: { display: false },
+                tooltip: {
+                    backgroundColor: '#0f1525',
+                    titleColor: '#e8f1ff',
+                    bodyColor: '#8ba3c0',
+                    borderColor: '#1e2d45',
+                    borderWidth: 1,
+                    callbacks: {
+                        label: (item) => `${item.raw} — ${scoredAgents[item.dataIndex].model.split('/').pop()}`
+                    }
+                }
+            },
+            scales: {
+                x: {
+                    grid: { color: '#1e2d45' },
+                    ticks: { color: '#5a7090', font: { family: 'JetBrains Mono', size: 10 } }
+                },
+                y: {
+                    grid: { display: false },
+                    ticks: { color: '#8ba3c0', font: { family: 'JetBrains Mono', size: 11 } }
+                }
+            }
+        }
+    });
+}
+
+// Chart 2: Model Distribution (Doughnut)
+function drawModelDistChart(modelCounts) {
+    const ctx = document.getElementById('modelDistChart')?.getContext('2d');
+    if (!ctx) return;
+    
+    const entries = Object.entries(modelCounts).filter(([_, c]) => c > 0);
+    const labels = entries.map(([m, _]) => m.split('/').pop());
+    const data = entries.map(([_, c]) => c);
+    const colors = ['#00ff94','#00d4ff','#a855f7','#ff9f43','#ff4757','#3b82f6','#facc15','#e879f9'];
+    
+    window._modelDistChart = new Chart(ctx, {
+        type: 'doughnut',
+        data: {
+            labels,
+            datasets: [{
+                data,
+                backgroundColor: colors.slice(0, entries.length),
+                borderColor: '#141c2e',
+                borderWidth: 2,
+            }]
+        },
+        options: {
+            responsive: true,
+            maintainAspectRatio: false,
+            cutout: '60%',
+            plugins: {
+                legend: {
+                    position: 'right',
+                    labels: { color: '#8ba3c0', font: { family: 'JetBrains Mono', size: 11 } }
+                },
+                tooltip: {
+                    backgroundColor: '#0f1525',
+                    titleColor: '#e8f1ff',
+                    bodyColor: '#8ba3c0',
+                    borderColor: '#1e2d45',
+                    borderWidth: 1,
+                    callbacks: {
+                        label: (item) => ` ${item.label}: ${item.raw} agents (${((item.raw/data.reduce((s,c)=>s+c,0))*100).toFixed(0)}%)`
+                    }
+                }
+            }
+        }
+    });
+}
+
+// Chart 3: Migration Impact (Grouped Bar)
+function drawMigrationChart(scoredAgents) {
+    const ctx = document.getElementById('migrationImpactChart')?.getContext('2d');
+    if (!ctx) return;
+    
+    // Build before/after data from agents with history
+    const impactData = [];
+    scoredAgents.forEach(ag => {
+        if (ag.history.length > 0) {
+            const latest = ag.history[ag.history.length - 1];
+            if (latest.to && latest.from) {
+                const after = ag.score;
+                const before = computeAgentScore(latest.from);
+                impactData.push({
+                    name: ag.name.split('-').map(s => s[0]?.toUpperCase() + s.slice(1)).join('-'),
+                    before, after, 
+                    delta: after - before,
+                    from: latest.from.split('/').pop(),
+                    to: ag.model.split('/').pop()
+                });
+            }
+        }
+    });
+    
+    if (impactData.length === 0) {
+        // No history — show single bars for all agents
+        window._migrationChart = new Chart(ctx, {
+            type: 'bar',
+            data: {
+                labels: scoredAgents.slice(0, 20).map(a => a.name),
+                datasets: [{
+                    label: 'Current Score',
+                    data: scoredAgents.slice(0, 20).map(a => a.score),
+                    backgroundColor: '#00ff94',
+                    borderRadius: 4
+                }]
+            },
+            options: {
+                responsive: true, maintainAspectRatio: false,
+                plugins: { legend: { display: false } },
+                scales: {
+                    x: { grid: { display: false }, ticks: { color: '#5a7090', font: { size: 9 }, maxRotation: 45 } },
+                    y: { grid: { color: '#1e2d45' }, ticks: { color: '#5a7090' } }
+                }
+            }
+        });
+        return;
+    }
+    
+    window._migrationChart = new Chart(ctx, {
+        type: 'bar',
+        data: {
+            labels: impactData.map(d => d.name),
+            datasets: [
+                {
+                    label: 'Before',
+                    data: impactData.map(d => d.before),
+                    backgroundColor: 'rgba(255,71,87,.6)',
+                    borderRadius: 4
+                },
+                {
+                    label: 'After',
+                    data: impactData.map(d => d.after),
+                    backgroundColor: impactData.map(d => d.delta >= 0 ? 'rgba(0,255,148,.6)' : 'rgba(255,71,87,.6)'),
+                    borderRadius: 4
+                }
+            ]
+        },
+        options: {
+            responsive: true, maintainAspectRatio: false,
+            plugins: {
+                tooltip: {
+                    backgroundColor: '#0f1525',
+                    titleColor: '#e8f1ff',
+                    bodyColor: '#8ba3c0',
+                    borderColor: '#1e2d45',
+                    borderWidth: 1,
+                    callbacks: {
+                        afterBody: (items) => {
+                            const idx = items[0].dataIndex;
+                            const d = impactData[idx];
+                            return `Change: ${d.from} → ${d.to}\nDelta: ${d.delta >= 0 ? '+' : ''}${d.delta}`;
+                        }
+                    }
+                }
+            },
+            scales: {
+                x: { grid: { display: false }, ticks: { color: '#5a7090', font: { size: 9 }, maxRotation: 45 } },
+                y: { grid: { color: '#1e2d45' }, ticks: { color: '#5a7090' } }
+            }
+        }
+    });
+}
+
+// Render Impact Tab - Chart.js based
+function renderImpact() {
+    const allAgents = Object.entries(agentData.agents);
+    const modelCounts = {};
+    const scoredAgents = [];
+    
+    // Compute scores for all agents
+    allAgents.forEach(([name, agent]) => {
+        const model = agent.current?.model || 'unknown';
+        modelCounts[model] = (modelCounts[model] || 0) + 1;
+        const score = computeAgentScore(model);
+        scoredAgents.push({ name, model, score, history: agent.history || [] });
+    });
+    
+    // Sort by score descending
+    scoredAgents.sort((a, b) => b.score - a.score);
+    
+    // Stats row
+    const totalAgents = allAgents.length;
+    const avgScore = scoredAgents.length > 0 
+        ? (scoredAgents.reduce((s, a) => s + a.score, 0) / scoredAgents.length).toFixed(1) 
+        : 0;
+    const best = scoredAgents[0] || { name: 'N/A', score: 0 };
+    const worst = scoredAgents[scoredAgents.length - 1] || { name: 'N/A', score: 0 };
+    const changes = allAgents.reduce((sum, [_, a]) => sum + ((a.history || []).length), 0);
+    
+    document.getElementById('impactStats').innerHTML = `
+        <div class="stat-card"><div class="stat-label">Total Agents</div><div class="stat-value grad-cyan">${totalAgents}</div><div class="stat-sub">in system</div></div>
+        <div class="stat-card"><div class="stat-label">Avg Score</div><div class="stat-value grad-green">${avgScore}</div><div class="stat-sub">composite</div></div>
+        <div class="stat-card"><div class="stat-label">Best Model</div><div class="stat-value grad-purple">${best.model.split('/').pop()}</div><div class="stat-sub">score: ${best.score}</div></div>
+        <div class="stat-card"><div class="stat-label">Worst Model</div><div class="stat-value grad-orange">${worst.model.split('/').pop()}</div><div class="stat-sub">score: ${worst.score}</div></div>
+        <div class="stat-card"><div class="stat-label">Changes Made</div><div class="stat-value grad-cyan">${changes}</div><div class="stat-sub">total migrations</div></div>
+    `;
+    
+    // Destroy old charts before creating new ones
+    if (window._agentScoreChart) window._agentScoreChart.destroy();
+    if (window._modelDistChart) window._modelDistChart.destroy();
+    if (window._migrationChart) window._migrationChart.destroy();
+    
+    drawAgentScoreChart(scoredAgents);
+    drawModelDistChart(modelCounts);
+    drawMigrationChart(scoredAgents);
+}
+
+// Filter Agents
+function runSync() {
+    const btn = document.querySelector('#impactSyncNote button');
+    if (btn) btn.textContent = '⏳ Running...';
+    setTimeout(() => {
+        location.reload();
+    }, 1500);
+}
+
+// Filter Agents
+function filterAgents() {
+    const search = document.getElementById('agentSearch').value.toLowerCase();
+    const cards = document.querySelectorAll('.agent-card');
+    cards.forEach(card => {
+        const text = card.textContent.toLowerCase();
+        card.style.display = text.includes(search) ? '' : 'none';
+    });
+}
+
+function filterCategory(category) {
+    document.querySelectorAll('.filter-btn').forEach(btn => btn.classList.remove('active'));
+    event.target.classList.add('active');
+    
+    if (category === 'all') {
+        document.querySelectorAll('.agent-card').forEach(card => card.style.display = '');
+    } else {
+        document.querySelectorAll('.category-section').forEach(section => {
+            const title = section.querySelector('.category-title')?.textContent;
+            section.style.display = title === category ? '' : 'none';
+        });
+    }
+}
+
+// Export
+function exportRecommendations() {
+    let recs = INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0 
+        ? INLINE_RECOMMENDATIONS 
+        : Object.entries(agentData.agents)
+            .filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
+            .map(([name, agent]) => ({
+                agent: name,
+                current_model: agent.current.model,
+                recommendations: agent.current.recommendations
+            }));
+
+    const output = {
+        timestamp: new Date().toISOString(),
+        total_recommendations: recs.length,
+        recommendations: recs
+    };
+
+    document.getElementById('exportContent').textContent = JSON.stringify(output, null, 2);
+    document.getElementById('exportModal').classList.add('show');
+}
+
+function copyToClipboard() {
+    const text = document.getElementById('exportContent').textContent;
+    navigator.clipboard.writeText(text);
+    alert('Copied to clipboard!');
+}
+
+function downloadJSON() {
+    const text = document.getElementById('exportContent').textContent;
+    const blob = new Blob([text], { type: 'application/json' });
+    const url = URL.createObjectURL(blob);
+    const a = document.createElement('a');
+    a.href = url;
+    a.download = 'agent-recommendations.json';
+    a.click();
+    URL.revokeObjectURL(url);
+}
+
+function closeModal() {
+    document.getElementById('exportModal').classList.remove('show');
+}
+
+// Apply Fixes Modal
+function showApplyModal() {
+    const recs = INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0 ? INLINE_RECOMMENDATIONS : [];
+    const checklist = document.getElementById('applyChecklist');
+    
+    checklist.innerHTML = recs.map((r, idx) => {
+        const fromModel = r.current_model_in_agent_versions || r.current_model || '';
+        const toModel = r.source_of_truth_model || r.recommended_model || '';
+        const fromShort = fromModel.split('/').pop() || fromModel;
+        const toShort = toModel.split('/').pop() || toModel;
+        const impact = (r.impact || 'low').toLowerCase();
+        
+        return `
+            <div class="apply-item">
+                <input type="checkbox" id="apply-check-${idx}" checked>
+                <div class="apply-item-content">
+                    <div class="apply-item-agent">${r.agent}</div>
+                    <div class="apply-item-models">
+                        <span class="apply-item-from">${fromShort}</span>
+                        <span class="apply-item-arrow">→</span>
+                        <span class="apply-item-to">${toShort}</span>
+                    </div>
+                </div>
+                <span class="apply-item-impact ${impact}">${impact}</span>
+            </div>
+        `;
+    }).join('');
+    
+    document.getElementById('applyModal').classList.add('show');
+}
+
+function closeApplyModal() {
+    document.getElementById('applyModal').classList.remove('show');
+}
+
+function simulateApply() {
+    closeApplyModal();
+    const progressModal = document.getElementById('progressModal');
+    const progressBar = document.getElementById('progressBar');
+    const progressStatus = document.getElementById('progressStatus');
+    const progressResult = document.getElementById('progressResult');
+    const progressResultText = document.getElementById('progressResultText');
+    
+    progressModal.classList.add('show');
+    progressResult.classList.remove('show');
+    progressBar.style.width = '0%';
+    progressStatus.textContent = 'Preparing...';
+    
+    const steps = [
+        'Updating capability-index.yaml...',
+        'Updating agent definitions...',
+        'Syncing history...',
+        'Done!'
+    ];
+    
+    let progress = 0;
+    let stepIndex = 0;
+    const totalSteps = steps.length;
+    const stepDuration = 800;
+    
+    function updateProgress() {
+        progress += 100 / (totalSteps * 2);
+        progressBar.style.width = Math.min(progress, 100) + '%';
+        
+        if (progress >= (stepIndex + 1) * (100 / totalSteps)) {
+            progressStatus.textContent = steps[stepIndex];
+            stepIndex++;
+        }
+        
+        if (progress < 100) {
+            setTimeout(updateProgress, stepDuration);
+        } else {
+            progressStatus.textContent = 'Complete!';
+            progressResult.classList.add('show');
+            
+            const recs = INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0 ? INLINE_RECOMMENDATIONS : [];
+            progressResultText.textContent = `✅ ${recs.length} recommendations applied. Run 'bun run sync:evolution' to update dashboard.`;
+        }
+    }
+    
+    setTimeout(updateProgress, stepDuration);
+}
+
+function closeProgressModal() {
+    document.getElementById('progressModal').classList.remove('show');
+}
+
+// Research Modal
+function showResearchModal() {
+    const researchModal = document.getElementById('researchModal');
+    const researchSteps = document.getElementById('researchSteps');
+    const researchSummary = document.getElementById('researchSummary');
+    const steps = researchSteps.querySelectorAll('.research-step');
+    
+    researchSummary.classList.remove('show');
+    steps.forEach(step => {
+        step.classList.remove('active', 'done');
+    });
+    
+    researchModal.classList.add('show');
+    
+    let currentStep = 0;
+    const stepDuration = 1000;
+    
+    function runStep() {
+        if (currentStep < steps.length) {
+            steps.forEach((step, idx) => {
+                if (idx < currentStep) {
+                    step.classList.add('done');
+                    step.classList.remove('active');
+                } else if (idx === currentStep) {
+                    step.classList.add('active');
+                    step.classList.remove('done');
+                } else {
+                    step.classList.remove('active', 'done');
+                }
+            });
+            currentStep++;
+            setTimeout(runStep, stepDuration);
+        } else {
+            // Research complete - show summary
+            steps.forEach(step => {
+                step.classList.remove('active');
+                step.classList.add('done');
+            });
+            
+            const recs = INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0 ? INLINE_RECOMMENDATIONS : [];
+            const modelsCount = new Set(recs.map(r => r.current_model).concat(recs.map(r => r.source_of_truth_model || r.recommended_model))).size;
+            const recsCount = recs.filter(r => r.score_delta > 0).length;
+            
+            document.getElementById('researchSummaryText').textContent = 
+                `${modelsCount} models evaluated. ${recsCount} recommendations found. ${recs.length - recsCount} idle models detected.`;
+            researchSummary.classList.add('show');
+        }
+    }
+    
+    setTimeout(runStep, stepDuration);
+}
+
+function closeResearchModal() {
+    document.getElementById('researchModal').classList.remove('show');
+}
+
+// Tab switching
+function switchTab(tabId) {
+    document.querySelectorAll('.tab-btn').forEach(btn => btn.classList.remove('active'));
+    document.querySelectorAll('.tab-panel').forEach(panel => panel.classList.remove('active'));
+    
+    event.target.classList.add('active');
+    document.getElementById('tab-' + tabId).classList.add('active');
+}
+
+// Initialize on load
+init();
+</script>
+</body>
+</html>
\ No newline at end of file
diff --git a/agent-evolution/index.standalone.html b/agent-evolution/index.standalone.html
deleted file mode 100644
index 365c2b5..0000000
--- a/agent-evolution/index.standalone.html
+++ /dev/null
@@ -1,2781 +0,0 @@
-<!DOCTYPE html>
-<html lang="ru">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>APAW Agent Evolution Dashboard</title>
-    <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=Inter:wght@300;400;500;600;700;800&display=swap" rel="stylesheet">
-    <style>
-        :root {
-            --bg-deep: #0a0f1a;
-            --bg-panel: #0f1525;
-            --bg-card: #141c2e;
-            --bg-card-hover: #1a2540;
-            --border: #1e2d45;
-            --border-bright: #2a4060;
-            --text-primary: #e8f1ff;
-            --text-secondary: #8ba3c0;
-            --text-muted: #5a7090;
-            --accent-cyan: #00d4ff;
-            --accent-green: #00ff94;
-            --accent-orange: #ff9f43;
-            --accent-red: #ff4757;
-            --accent-purple: #a855f7;
-            --accent-blue: #3b82f6;
-            --accent-yellow: #facc15;
-            --glow-cyan: rgba(0,212,255,0.15);
-            --glow-green: rgba(0,255,148,0.1);
-            --glow-purple: rgba(168,85,247,0.1);
-        }
-        * { margin: 0; padding: 0; box-sizing: border-box; }
-        body {
-            font-family: 'Inter', sans-serif;
-            background: var(--bg-deep);
-            color: var(--text-primary);
-            min-height: 100vh;
-        }
-        body::before {
-            content: '';
-            position: fixed;
-            inset: 0;
-            background: 
-                radial-gradient(ellipse at 20% 20%, rgba(0,212,255,0.08) 0%, transparent 50%),
-                radial-gradient(ellipse at 80% 80%, rgba(168,85,247,0.06) 0%, transparent 50%);
-            pointer-events: none;
-            z-index: 0;
-        }
-        .container {
-            max-width: 1600px;
-            margin: 0 auto;
-            padding: 24px 16px;
-            position: relative;
-            z-index: 1;
-        }
-
-        /* Header */
-        .header { text-align: center; margin-bottom: 32px; }
-        .header h1 {
-            font-size: 2.2em;
-            font-weight: 800;
-            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
-            -webkit-background-clip: text;
-            -webkit-text-fill-color: transparent;
-            margin-bottom: 8px;
-        }
-        .header .sub {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.85em;
-            color: var(--text-muted);
-        }
-        .header .meta {
-            display: flex;
-            justify-content: center;
-            gap: 24px;
-            margin-top: 12px;
-            font-size: 0.8em;
-            color: var(--text-secondary);
-        }
-
-        /* Tabs */
-        .tabs {
-            display: flex;
-            gap: 4px;
-            background: var(--bg-panel);
-            border: 1px solid var(--border);
-            border-radius: 12px;
-            padding: 4px;
-            margin-bottom: 24px;
-            overflow-x: auto;
-        }
-        .tab-btn {
-            flex: 1;
-            min-width: 100px;
-            padding: 10px 16px;
-            background: none;
-            border: none;
-            color: var(--text-secondary);
-            font-family: 'Inter', sans-serif;
-            font-size: 0.85em;
-            font-weight: 600;
-            border-radius: 8px;
-            cursor: pointer;
-            transition: all 0.25s;
-            white-space: nowrap;
-        }
-        .tab-btn:hover { color: var(--text-primary); background: var(--bg-card); }
-        .tab-btn.active {
-            color: var(--bg-deep);
-            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
-            box-shadow: 0 0 20px var(--glow-cyan);
-        }
-        .tab-panel { display: none; animation: fadeUp 0.4s ease-out; }
-        .tab-panel.active { display: block; }
-        @keyframes fadeUp {
-            from { opacity: 0; transform: translateY(16px); }
-            to { opacity: 1; transform: translateY(0); }
-        }
-
-        /* Stats */
-        .stats-row {
-            display: grid;
-            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
-            gap: 14px;
-            margin-bottom: 24px;
-        }
-        .stat-card {
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            border-radius: 10px;
-            padding: 18px;
-            position: relative;
-            overflow: hidden;
-            transition: all 0.3s;
-        }
-        .stat-card:hover {
-            border-color: var(--accent-cyan);
-            transform: translateY(-2px);
-            box-shadow: 0 8px 32px var(--glow-cyan);
-        }
-        .stat-label {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.65em;
-            color: var(--text-muted);
-            text-transform: uppercase;
-            letter-spacing: 1.5px;
-            margin-bottom: 6px;
-        }
-        .stat-value { font-size: 2em; font-weight: 800; }
-        .stat-sub { font-size: 0.75em; color: var(--text-secondary); margin-top: 4px; }
-        .grad-cyan { background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
-        .grad-orange { background: linear-gradient(135deg, var(--accent-orange), var(--accent-yellow)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
-        .grad-purple { background: linear-gradient(135deg, var(--accent-purple), #e879f9); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
-        .grad-green { background: linear-gradient(135deg, var(--accent-green), #4ade80); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
-        .grad-red { background: linear-gradient(135deg, var(--accent-red), #ff6b81); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
-
-        /* Agent Grid */
-        .agents-grid {
-            display: grid;
-            grid-template-columns: repeat(auto-fill, minmax(340px, 1fr));
-            gap: 16px;
-        }
-        .agent-card {
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            border-radius: 12px;
-            padding: 20px;
-            transition: all 0.3s;
-            position: relative;
-            overflow: hidden;
-        }
-        .agent-card:hover {
-            border-color: var(--accent-cyan);
-            transform: translateY(-2px);
-            box-shadow: 0 8px 32px var(--glow-cyan);
-        }
-        .agent-card.has-history { border-left: 3px solid var(--accent-green); }
-        .agent-card.needs-update { border-left: 3px solid var(--accent-orange); }
-        .agent-card.is-new { border-left: 3px solid var(--accent-purple); }
-
-        .agent-header {
-            display: flex;
-            justify-content: space-between;
-            align-items: flex-start;
-            margin-bottom: 12px;
-        }
-        .agent-name {
-            font-weight: 700;
-            font-size: 1.05em;
-            display: flex;
-            align-items: center;
-            gap: 8px;
-        }
-        .agent-color {
-            width: 12px;
-            height: 12px;
-            border-radius: 3px;
-            flex-shrink: 0;
-        }
-        .agent-category {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.7em;
-            padding: 3px 8px;
-            border-radius: 12px;
-            background: rgba(0,212,255,0.1);
-            color: var(--accent-cyan);
-        }
-        .agent-model {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.78em;
-            color: var(--accent-green);
-            margin-bottom: 8px;
-            display: flex;
-            align-items: center;
-            gap: 6px;
-        }
-        .agent-provider {
-            font-size: 0.7em;
-            padding: 2px 6px;
-            border-radius: 4px;
-            background: rgba(0,255,148,0.1);
-            color: var(--accent-green);
-        }
-        .agent-desc {
-            font-size: 0.85em;
-            color: var(--text-secondary);
-            line-height: 1.5;
-            margin-bottom: 12px;
-        }
-        .agent-meta {
-            display: grid;
-            grid-template-columns: repeat(3, 1fr);
-            gap: 8px;
-            padding-top: 12px;
-            border-top: 1px solid var(--border);
-        }
-        .agent-meta-item {
-            text-align: center;
-        }
-        .agent-meta-label {
-            font-size: 0.6em;
-            color: var(--text-muted);
-            text-transform: uppercase;
-            letter-spacing: 0.5px;
-        }
-        .agent-meta-value {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.9em;
-            font-weight: 600;
-            color: var(--text-primary);
-        }
-        .agent-history {
-            margin-top: 12px;
-            padding-top: 12px;
-            border-top: 1px dashed var(--border);
-        }
-        .history-title {
-            font-size: 0.7em;
-            color: var(--text-muted);
-            text-transform: uppercase;
-            margin-bottom: 8px;
-        }
-        .history-item {
-            display: flex;
-            align-items: center;
-            gap: 10px;
-            font-size: 0.75em;
-            padding: 6px 0;
-            border-bottom: 1px solid rgba(30,45,69,0.5);
-        }
-        .history-item:last-child { border-bottom: none; }
-        .history-date {
-            font-family: 'JetBrains Mono', monospace;
-            color: var(--text-muted);
-            min-width: 100px;
-        }
-        .history-type {
-            padding: 2px 6px;
-            border-radius: 4px;
-            font-size: 0.85em;
-        }
-        .history-type.model_change { background: rgba(0,212,255,0.15); color: var(--accent-cyan); }
-        .history-type.prompt_change { background: rgba(168,85,247,0.15); color: var(--accent-purple); }
-        .history-type.agent_created { background: rgba(0,255,148,0.15); color: var(--accent-green); }
-
-        /* Category Section */
-        .category-section { margin-bottom: 32px; }
-        .category-header {
-            display: flex;
-            align-items: center;
-            gap: 10px;
-            margin-bottom: 16px;
-            padding-bottom: 8px;
-            border-bottom: 1px solid var(--border);
-        }
-        .category-title {
-            font-size: 1.1em;
-            font-weight: 700;
-        }
-        .category-count {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.7em;
-            padding: 3px 8px;
-            border-radius: 12px;
-            background: rgba(168,85,247,0.15);
-            color: var(--accent-purple);
-        }
-
-        /* Evolution Timeline */
-        .timeline-wrap {
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            border-radius: 12px;
-            padding: 24px;
-            margin-bottom: 24px;
-        }
-        .timeline-title {
-            font-size: 1.1em;
-            font-weight: 700;
-            margin-bottom: 16px;
-        }
-        .timeline {
-            position: relative;
-            padding-left: 24px;
-        }
-        .timeline::before {
-            content: '';
-            position: absolute;
-            left: 8px;
-            top: 0;
-            bottom: 0;
-            width: 2px;
-            background: var(--border);
-        }
-        .timeline-item {
-            position: relative;
-            padding: 12px 0 12px 24px;
-            border-bottom: 1px solid var(--border);
-        }
-        .timeline-item:last-child { border-bottom: none; }
-        .timeline-item::before {
-            content: '';
-            position: absolute;
-            left: -20px;
-            top: 18px;
-            width: 12px;
-            height: 12px;
-            border-radius: 50%;
-            background: var(--accent-cyan);
-            border: 2px solid var(--border);
-        }
-        .timeline-date {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.75em;
-            color: var(--text-muted);
-        }
-        .timeline-content {
-            font-size: 0.9em;
-            margin-top: 4px;
-        }
-        .timeline-agent {
-            font-weight: 600;
-            color: var(--accent-cyan);
-        }
-        .timeline-change {
-            color: var(--text-secondary);
-        }
-
-        /* Filter Row */
-        .filter-row {
-            display: flex;
-            gap: 8px;
-            flex-wrap: wrap;
-            margin-bottom: 16px;
-        }
-        .filter-btn {
-            padding: 6px 14px;
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            color: var(--text-secondary);
-            border-radius: 20px;
-            font-size: 0.8em;
-            cursor: pointer;
-            transition: all 0.2s;
-            font-family: 'Inter', sans-serif;
-        }
-        .filter-btn:hover, .filter-btn.active {
-            border-color: var(--accent-cyan);
-            color: var(--accent-cyan);
-            background: rgba(0,212,255,0.05);
-        }
-
-        /* Search */
-        .search-box {
-            position: relative;
-            margin-bottom: 20px;
-        }
-        .search-input {
-            width: 100%;
-            padding: 12px 16px 12px 40px;
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            border-radius: 8px;
-            color: var(--text-primary);
-            font-family: 'Inter', sans-serif;
-            font-size: 0.9em;
-        }
-        .search-input:focus {
-            outline: none;
-            border-color: var(--accent-cyan);
-        }
-        .search-icon {
-            position: absolute;
-            left: 14px;
-            top: 50%;
-            transform: translateY(-50%);
-            color: var(--text-muted);
-        }
-
-        /* Model Matrix */
-        .matrix-wrap {
-            overflow-x: auto;
-            border-radius: 12px;
-            border: 1px solid var(--border);
-            background: var(--bg-card);
-            padding: 20px;
-        }
-        .matrix-title {
-            font-size: 1.1em;
-            font-weight: 700;
-            margin-bottom: 16px;
-        }
-        .matrix-table {
-            width: 100%;
-            border-collapse: collapse;
-            font-size: 0.8em;
-        }
-        .matrix-table th {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.7em;
-            color: var(--text-muted);
-            text-transform: uppercase;
-            padding: 10px 8px;
-            text-align: left;
-            border-bottom: 2px solid var(--border);
-            position: sticky;
-            top: 0;
-            background: var(--bg-panel);
-        }
-        .matrix-table td {
-            padding: 10px 8px;
-            border-bottom: 1px solid var(--border);
-        }
-        .matrix-table tr:hover td {
-            background: var(--bg-card-hover);
-        }
-        .score-bar {
-            display: flex;
-            align-items: center;
-            gap: 6px;
-        }
-        .score-bg {
-            width: 50px;
-            height: 5px;
-            background: var(--border);
-            border-radius: 3px;
-            overflow: hidden;
-        }
-        .score-fill {
-            height: 100%;
-            border-radius: 3px;
-        }
-        .score-fill.high { background: linear-gradient(90deg, var(--accent-green), #00ff94); }
-        .score-fill.medium { background: linear-gradient(90deg, var(--accent-orange), #ffc048); }
-        .score-fill.low { background: linear-gradient(90deg, var(--accent-red), #ff6b81); }
-
-        /* Heatmap */
-        .hm-wrap { overflow-x:auto; border-radius:11px; border:1px solid var(--border); background:var(--bg-card); padding:18px; margin-bottom:26px; }
-        .hm-title { font-weight:700; font-size:1.05em; }
-        .hm-sub { font-size:.76em; color:var(--text-muted); margin-bottom:14px; }
-        .hm-table { border-collapse:separate; border-spacing:2px; width:100%; }
-        .hm-table th { font-family:'JetBrains Mono',monospace; font-size:.62em; color:var(--text-muted); padding:8px 5px; text-align:center; white-space:nowrap; vertical-align:bottom; }
-        .hm-table th.hm-role { text-align:left; min-width:140px; font-size:.68em; padding-left:10px; }
-        .hm-table td { text-align:center; padding:6px 4px; font-family:'JetBrains Mono',monospace; font-size:.72em; font-weight:700; border-radius:6px; cursor:pointer; transition:all .15s cubic-bezier(.4,0,.2,1); min-width:42px; position:relative; line-height:1.4; }
-        .hm-table td:hover { transform:scale(1.1); z-index:2; box-shadow:0 4px 12px rgba(0,0,0,.35); }
-        .hm-table td.hm-r { text-align:left; font-family:'Inter',sans-serif; font-size:.82em; font-weight:600; color:var(--text-primary); cursor:default; padding-left:10px; }
-        .hm-table td.hm-r:hover { transform:none; box-shadow:none; }
-        .hm-star { position:absolute; top:2px; right:2px; font-size:.65em; text-shadow:0 1px 2px rgba(0,0,0,.5); }
-        .hm-cur { box-shadow:inset 0 0 0 2px var(--accent-cyan), 0 0 8px rgba(0,212,255,.35); border-radius:6px; }
-        .hm-cur::after { content:''; position:absolute; bottom:2px; left:50%; transform:translateX(-50%); width:8px; height:3px; background:var(--accent-cyan); border-radius:2px; }
-        .hm-if-warn { position:absolute; top:2px; left:2px; font-size:.6em; opacity:.8; }
-
-        /* Smooth gradient legend bar */
-        .hm-legend-wrap { margin-top:18px; padding:0 4px; }
-        .hm-legend-track { position:relative; height:22px; border-radius:11px; background:linear-gradient(90deg, rgba(0,255,148,.85) 0%, rgba(0,212,255,.75) 20%, rgba(59,130,246,.6) 40%, rgba(168,85,247,.45) 58%, rgba(255,159,67,.35) 75%, rgba(255,71,87,.3) 88%, rgba(90,104,128,.2) 100%); box-shadow:inset 0 1px 3px rgba(0,0,0,.3); }
-        .hm-legend-labels { display:flex; justify-content:space-between; align-items:center; margin-top:8px; padding:0 4px; }
-        .hm-legend-labels span { font-size:.68em; font-family:'JetBrains Mono',monospace; color:var(--text-muted); }
-        .hm-legend-left { color:var(--accent-green); }
-        .hm-legend-right { color:var(--accent-red); }
-        .hm-legend-marks { display:flex; justify-content:space-between; padding:0 2px; margin-top:3px; }
-        .hm-legend-marks span { font-size:.58em; font-family:'JetBrains Mono',monospace; color:var(--text-muted); min-width:20px; text-align:center; }
-
-        /* Heatmap Modal Tabs */
-        .hm-modal-tabs { display:flex; gap:3px; background:var(--bg-panel); border-bottom:1px solid var(--border); padding:4px 18px; }
-        .hm-tab-btn { padding:8px 16px; background:none; border:none; color:var(--text-secondary); font-family:'Inter'; font-size:.82em; font-weight:600; border-radius:8px; cursor:pointer; transition:all .25s; }
-        .hm-tab-btn.active { color:var(--bg-deep); background:linear-gradient(135deg,var(--accent-cyan),var(--accent-green)); }
-        .hm-tab-content { display:none; }
-        .hm-tab-content.active { display:block; }
-        .hm-model-timeline { display:flex; flex-direction:column; gap:12px; }
-        .hm-tl-item { display:flex; gap:14px; align-items:center; padding:10px; background:var(--bg-deep); border-radius:8px; border-left:3px solid var(--accent-cyan); }
-        .hm-tl-date { font-family:'JetBrains Mono',monospace; font-size:.72em; color:var(--text-muted); min-width:100px; }
-        .hm-tl-change { display:flex; align-items:center; gap:8px; }
-        .hm-tl-from { text-decoration:line-through; color:#ff6b81; background:rgba(255,71,87,.08); padding:2px 6px; border-radius:4px; }
-        .hm-tl-arrow { color:var(--accent-green); }
-        .hm-tl-to { color:var(--accent-green); background:rgba(0,255,148,.08); padding:2px 6px; border-radius:4px; font-weight:600; }
-        .hm-tl-current { border-left-color:var(--accent-green); background:rgba(0,255,148,.05); }
-        .hm-no-data { color:var(--text-muted); font-size:.9em; padding:16px; text-align:center; }
-        .hm-capabilities { display:flex; flex-wrap:wrap; gap:6px; }
-        .hm-cap-tag { padding:4px 10px; background:rgba(0,212,255,.1); border:1px solid var(--border); border-radius:16px; font-size:.78em; color:var(--accent-cyan); }
-        .hm-agent-desc { font-size:.9em; color:var(--text-secondary); line-height:1.5; margin-bottom:14px; padding:12px; background:var(--bg-deep); border-radius:8px; }
-        .hm-model-tl-score { margin-left:auto; font-family:'JetBrains Mono',monospace; font-size:.8em; color:var(--accent-cyan); }
-
-        /* Tooltip */
-        #ttOverlay { display:none; position:fixed; top:0;left:0;right:0;bottom:0; z-index:999; pointer-events:none; }
-        #ttOverlay.show { display:block; }
-        #ttBox { position:absolute; background:var(--bg-panel); border:1px solid var(--accent-cyan); border-radius:9px; padding:12px 16px; max-width:300px; box-shadow:0 10px 32px rgba(0,0,0,.55); z-index:1000; }
-        #ttBox h4 { color:var(--accent-cyan); font-size:.9em; margin-bottom:4px; }
-        #ttBox p { font-size:.78em; color:var(--text-secondary); line-height:1.45; }
-
-        /* Export */
-        .actions-row {
-            display: flex;
-            gap: 10px;
-            margin-bottom: 20px;
-        }
-        .action-btn {
-            padding: 8px 16px;
-            background: var(--bg-card);
-            border: 1px solid var(--border);
-            color: var(--text-primary);
-            border-radius: 8px;
-            font-family: 'Inter', sans-serif;
-            font-size: 0.85em;
-            cursor: pointer;
-            transition: all 0.25s;
-            display: inline-flex;
-            align-items: center;
-            gap: 8px;
-        }
-        .action-btn:hover {
-            border-color: var(--accent-cyan);
-            color: var(--accent-cyan);
-        }
-        .action-btn.primary {
-            background: linear-gradient(135deg, rgba(0,212,255,0.15), rgba(0,255,148,0.1));
-            border-color: var(--accent-cyan);
-            color: var(--accent-cyan);
-        }
-        .action-btn.primary:hover {
-            box-shadow: 0 0 20px var(--glow-cyan);
-        }
-
-        /* Modal */
-        .modal {
-            display: none;
-            position: fixed;
-            inset: 0;
-            background: rgba(0,0,0,0.7);
-            z-index: 9999;
-            justify-content: center;
-            align-items: center;
-            padding: 20px;
-        }
-        .modal.show { display: flex; }
-        .modal-content {
-            background: var(--bg-panel);
-            border: 1px solid var(--accent-cyan);
-            border-radius: 14px;
-            max-width: 900px;
-            width: 100%;
-            max-height: 85vh;
-            overflow: hidden;
-            display: flex;
-            flex-direction: column;
-            box-shadow: 0 20px 60px rgba(0,0,0,0.5);
-        }
-        .modal-header {
-            display: flex;
-            justify-content: space-between;
-            align-items: center;
-            padding: 18px 22px;
-            border-bottom: 1px solid var(--border);
-        }
-        .modal-title { font-weight: 700; font-size: 1.05em; }
-        .modal-actions { display: flex; gap: 8px; }
-        .modal-body {
-            flex: 1;
-            overflow: auto;
-            padding: 18px 22px;
-        }
-        .modal-pre {
-            font-family: 'JetBrains Mono', monospace;
-            font-size: 0.78em;
-            line-height: 1.6;
-            color: var(--accent-green);
-            white-space: pre-wrap;
-        }
-
-        /* Impact Tab */
-        .chart-wrap { background: var(--bg-card); border: 1px solid var(--border); border-radius: 12px; padding: 20px; margin-bottom: 24px; }
-        .chart-title { font-size: 1.1em; font-weight: 700; margin-bottom: 16px; }
-        .chart-sub { font-size: 0.76em; color: var(--text-muted); margin-bottom: 14px; }
-        #impactCanvas { width: 100%; height: 300px; border-radius: 8px; background: var(--bg-panel); }
-        .chart-placeholder { text-align: center; padding: 60px 20px; color: var(--text-muted); font-size: 0.95em; }
-
-        /* Recommendation Cards */
-        .rec-card { background: var(--bg-card); border: 1px solid var(--border); border-radius: 12px; padding: 20px; transition: all 0.3s; margin-bottom: 16px; }
-        .rec-card:hover { border-color: var(--accent-cyan); transform: translateY(-2px); box-shadow: 0 8px 32px var(--glow-cyan); }
-        .rec-hdr { display: flex; justify-content: space-between; align-items: center; margin-bottom: 14px; }
-        .rec-agent { font-weight: 700; font-size: 1.1em; display: flex; align-items: center; gap: 10px; }
-        .rec-agent-name { color: var(--text-primary); }
-        .impact-badge { font-family: 'JetBrains Mono', monospace; font-size: 0.7em; font-weight: 700; padding: 4px 10px; border-radius: 6px; text-transform: uppercase; letter-spacing: 0.5px; }
-        .impact-badge.critical { background: rgba(255,71,87,0.2); color: #ff6b81; border: 1px solid rgba(255,71,87,0.4); }
-        .impact-badge.high { background: rgba(255,159,67,0.2); color: #ffc048; border: 1px solid rgba(255,159,67,0.4); }
-        .impact-badge.medium { background: rgba(59,130,246,0.2); color: #60a5fa; border: 1px solid rgba(59,130,246,0.4); }
-        .impact-badge.low { background: rgba(0,255,148,0.15); color: #4ade80; border: 1px solid rgba(0,255,148,0.3); }
-        .swap-vis { display: flex; align-items: center; gap: 12px; margin: 16px 0; padding: 14px; background: var(--bg-panel); border-radius: 8px; }
-        .swap-from, .swap-to { flex: 1; padding: 10px 14px; border-radius: 6px; font-family: 'JetBrains Mono', monospace; font-size: 0.8em; }
-        .swap-from { background: rgba(255,71,87,0.1); color: #ff6b81; border: 1px solid rgba(255,71,87,0.3); }
-        .swap-to { background: rgba(0,255,148,0.1); color: #4ade80; border: 1px solid rgba(0,255,148,0.3); }
-        .swap-arrow { color: var(--accent-cyan); font-size: 1.4em; font-weight: 700; }
-        .rec-metrics { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-bottom: 14px; }
-        .rec-metric { text-align: center; padding: 10px; background: var(--bg-panel); border-radius: 6px; }
-        .rec-metric-label { font-size: 0.65em; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.5px; }
-        .rec-metric-value { font-family: 'JetBrains Mono', monospace; font-size: 0.95em; font-weight: 600; color: var(--accent-green); margin-top: 4px; }
-        .rec-rationale { font-size: 0.85em; color: var(--text-secondary); line-height: 1.6; padding: 12px; background: rgba(0,212,255,0.05); border-radius: 6px; border-left: 3px solid var(--accent-cyan); }
-
-        @media (max-width: 768px) {
-            .header h1 { font-size: 1.5em; }
-            .tabs { flex-wrap: wrap; }
-            .agents-grid { grid-template-columns: 1fr; }
-            .stats-row { grid-template-columns: repeat(2, 1fr); }
-            .rec-metrics { grid-template-columns: repeat(2, 1fr); }
-            .swap-vis { flex-direction: column; }
-            .swap-arrow { transform: rotate(90deg); }
-        }
-    </style>
-</head>
-<body>
-<div class="container">
-    <div class="header">
-        <h1>APAW Agent Evolution</h1>
-        <div class="sub">Real-time agent model & performance tracking</div>
-        <div class="meta">
-            <span id="lastSync">Loading...</span>
-            <span>•</span>
-            <span id="agentCount">0 agents</span>
-            <span>•</span>
-            <span id="historyCount">0 with history</span>
-        </div>
-    </div>
-
-    <div class="tabs" id="tabBar">
-        <button class="tab-btn active" onclick="switchTab('overview')">Overview</button>
-        <button class="tab-btn" onclick="switchTab('agents')">All Agents</button>
-        <button class="tab-btn" onclick="switchTab('history')">Timeline</button>
-        <button class="tab-btn" onclick="switchTab('recommendations')">Recommendations</button>
-        <button class="tab-btn" onclick="switchTab('heatmap')">Heatmap</button>
-        <button class="tab-btn" onclick="switchTab('impact')">Impact</button>
-    </div>
-
-    <!-- Overview Tab -->
-    <div id="tab-overview" class="tab-panel active">
-        <div class="stats-row" id="statsRow"></div>
-
-        <div class="category-section">
-            <div class="category-header">
-                <h2 class="category-title">Recent Changes</h2>
-                <span class="category-count" id="recentCount">0</span>
-            </div>
-            <div class="timeline-wrap">
-                <div class="timeline" id="recentTimeline"></div>
-            </div>
-        </div>
-
-        <div class="category-section">
-            <div class="category-header">
-                <h2 class="category-title">Pending Recommendations</h2>
-                <span class="category-count" id="recCount">0</span>
-            </div>
-            <div class="agents-grid" id="recAgents"></div>
-        </div>
-    </div>
-
-    <!-- All Agents Tab -->
-    <div id="tab-agents" class="tab-panel">
-        <div class="search-box">
-            <span class="search-icon">🔍</span>
-            <input type="text" class="search-input" id="agentSearch" placeholder="Search agents..." oninput="filterAgents()">
-        </div>
-        <div class="filter-row">
-            <button class="filter-btn active" onclick="filterCategory('all')">All</button>
-            <button class="filter-btn" onclick="filterCategory('Core Dev')">Core Dev</button>
-            <button class="filter-btn" onclick="filterCategory('QA')">QA</button>
-            <button class="filter-btn" onclick="filterCategory('Security')">Security</button>
-            <button class="filter-btn" onclick="filterCategory('Analysis')">Analysis</button>
-            <button class="filter-btn" onclick="filterCategory('Process')">Process</button>
-            <button class="filter-btn" onclick="filterCategory('Cognitive')">Cognitive</button>
-        </div>
-        <div id="agentsByCategory"></div>
-    </div>
-
-    <!-- History Tab -->
-    <div id="tab-history" class="tab-panel">
-        <div class="timeline-wrap">
-            <h2 class="timeline-title">Evolution Timeline</h2>
-            <div class="timeline" id="fullTimeline"></div>
-        </div>
-    </div>
-
-    <!-- Recommendations Tab -->
-    <div id="tab-recommendations" class="tab-panel">
-        <div class="actions-row">
-            <button class="action-btn primary" onclick="exportRecommendations()">
-                <span>📥</span> Export JSON
-            </button>
-        </div>
-        <div class="agents-grid" id="allRecommendations"></div>
-    </div>
-
-    <!-- Heatmap Tab -->
-    <div id="tab-heatmap" class="tab-panel">
-        <div class="hm-wrap">
-            <div class="hm-title">Agent × Model Compatibility Heatmap</div>
-            <div class="hm-sub">Weighted score = benchmark × instruction-following multiplier · ★ = best fit · outlined = current · click for details</div>
-            <div style="overflow-x:auto"><table class="hm-table" id="hmTable"></table></div>
-            <div class="hm-legend-wrap">
-                <div class="hm-legend-track"></div>
-                <div class="hm-legend-marks">
-                    <span>100</span><span>80</span><span>60</span><span>40</span><span>20</span><span>0</span>
-                </div>
-                <div class="hm-legend-labels">
-                    <span class="hm-legend-left">↑ Ideal Match</span>
-                    <span class="hm-legend-right">Mismatch ↓</span>
-                </div>
-            </div>
-        </div>
-    </div>
-
-    <!-- Impact Tab -->
-    <div id="tab-impact" class="tab-panel">
-        <div class="stats-row" id="impactStats"></div>
-        <div class="chart-wrap">
-            <div class="chart-title">Model Migration Impact</div>
-            <div class="chart-sub">Before/after fit scores when switching models - higher bars = bigger improvement</div>
-            <div id="impactChartContainer">
-                <canvas id="impactCanvas"></canvas>
-            </div>
-        </div>
-    </div>
-</div>
-
-<!-- Export Modal -->
-<div class="modal" id="exportModal">
-    <div class="modal-content">
-        <div class="modal-header">
-            <div class="modal-title">Export Recommendations</div>
-            <div class="modal-actions">
-                <button class="action-btn" onclick="copyToClipboard()">📋 Copy</button>
-                <button class="action-btn primary" onclick="downloadJSON()">⬇ Download</button>
-                <button class="action-btn" onclick="closeModal()" style="border-color: #ff4757; color: #ff6b81;">✕</button>
-            </div>
-        </div>
-        <div class="modal-body">
-            <pre class="modal-pre" id="exportContent"></pre>
-        </div>
-    </div>
-</div>
-
-<!-- Tooltip Overlay -->
-<div id="ttOverlay"><div id="ttBox"></div></div>
-
-<!-- Heatmap Modal -->
-<div id="hmModal" class="modal" style="display:none">
-    <div class="modal-content" style="max-width:900px;width:95%;max-height:85vh">
-        <div class="modal-header">
-            <div class="modal-title" id="hmModalTitle">Agent Details</div>
-            <div class="modal-actions">
-                <button class="action-btn" onclick="closeHmModal()">✕</button>
-            </div>
-        </div>
-        <div class="hm-modal-tabs">
-            <button class="hm-tab-btn active" onclick="switchHmTab('prompt')">Prompt Evolution</button>
-            <button class="hm-tab-btn" onclick="switchHmTab('gitea')">Gitea History</button>
-            <button class="hm-tab-btn" onclick="switchHmTab('skills')">Skills</button>
-            <button class="hm-tab-btn" onclick="switchHmTab('models')">Model Timeline</button>
-        </div>
-        <div class="modal-body" id="hmModalBody">
-            <!-- Content injected by JS -->
-        </div>
-    </div>
-</div>
-
-<script>
-// Agent Evolution Dashboard
-// Supports both server and file:// mode
-let agentData = {};
-
-// Inline recommendation data fallback (from model-research-latest.json)
-const INLINE_RECOMMENDATIONS = [
-    { agent: "frontend-developer", current_model_in_agent_versions: "ollama-cloud/qwen3-coder:480b", source_of_truth_model: "ollama-cloud/minimax-m2.5", impact: "high", score_before: 86, score_after: 92, score_delta: 6, rationale: "agent-versions.json is stale. kilo-meta.json (source of truth) already has minimax-m2.5. Matrix score for frontend-dev on M2.5 = 92 (highest!)." },
-    { agent: "lead-developer", current_model_in_agent_versions: "ollama-cloud/nemotron-3-super", source_of_truth_model: "ollama-cloud/qwen3-coder:480b", impact: "high", score_before: 70, score_after: 92, score_delta: 22, rationale: "agent-versions.json shows nemotron-3-super (outdated). kilo-meta.json has qwen3-coder:480b. Matrix score: qwen3-coder 92 is the highest for lead-developer." },
-    { agent: "system-analyst", current_model: "ollama-cloud/glm-5.1", recommended_model: "ollama-cloud/deepseek-v4-pro-max", impact: "medium", score_before: 82, score_after: 88, score_delta: 6, rationale: "system-analyst matrix: glm-5.1 = 82, deepseek-v4-pro-max = 88. 1M context is critical for architecture docs." },
-    { agent: "evaluator", current_model: "ollama-cloud/glm-5.1", recommended_model: "ollama-cloud/kimi-k2.6", impact: "medium", score_before: 78, score_after: 84, score_delta: 6, rationale: "evaluator needs high IF and reasoning accuracy. kimi-k2-6 IF=91, matrix score 84 vs glm-5.1 78." },
-    { agent: "planner", current_model: "ollama-cloud/deepseek-v4-pro-max", impact: "low", score_before: 88, score_after: 88, score_delta: 0, rationale: "planner is already on deepseek-v4-pro-max, which is the best model for this role (88)." },
-    { agent: "reflector", current_model: "ollama-cloud/deepseek-v4-pro-max", impact: "low", score_before: 84, score_after: 84, score_delta: 0, rationale: "reflector already on deepseek-v4-pro-max (84), the best fit. Self-reflection requires strong reasoning chains." },
-    { agent: "workflow-architect", current_model: "ollama-cloud/glm-5.1", recommended_model: "ollama-cloud/kimi-k2.6", impact: "medium", score_before: 76, score_after: 82, score_delta: 6, rationale: "workflow-architect matrix: glm-5.1 = 76, kimi-k2-6 = 82." },
-    { agent: "pipeline-judge", current_model: "ollama-cloud/glm-5.1", recommended_model: "openrouter/qwen3-6-plus:free", impact: "low", score_before: 76, score_after: 80, score_delta: 4, rationale: "qwen3-6-plus is FREE on OpenRouter with IF=91 and SWE-bench 78.8." },
-    { agent: "orchestrator", current_model: "ollama-cloud/kimi-k2.6", impact: "low", score_before: 92, score_after: 92, score_delta: 0, rationale: "orchestrator on kimi-k2.6 is the absolute best fit (92)." },
-    { agent: "the-fixer", current_model: "ollama-cloud/kimi-k2.6", impact: "low", score_before: 90, score_after: 90, score_delta: 0, rationale: "the-fixer on kimi-k2.6 (90) is optimal. SWE-Pro 58.6 (#1!)." },
-    { agent: "memory-manager", current_model: "ollama-cloud/qwen3.6-plus", impact: "low", score_before: 87, score_after: 87, score_delta: 0, rationale: "memory-manager on qwen3.6-plus (87) is the best fit. 1M context critical." }
-];
-
-// Default embedded data (minimal - updated by sync script)
-const EMBEDDED_DATA = {
-  "version": "1.0.0",
-  "lastUpdated": "2026-05-25T13:37:20.281Z",
-  "agents": {
-    "lead-developer": {
-      "current": {
-        "description": "Primary code writer for backend and core logic. Writes implementation to pass tests (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#DC2626\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": null,
-          "to": "ollama-cloud/qwen3-coder:480b",
-          "reason": "Initial configuration",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T16:56:09Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3-coder:480b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Nemotron 3 Super has better reasoning",
-          "source": "research"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/qwen3-coder:480b",
-          "reason": "Reverted to qwen3-coder: SWE-bench 66.5% is coding-benchmark standard. Matrix score 92 vs nemotron 70.",
-          "source": "orchestrator-analysis"
-        }
-      ],
-      "performance_log": []
-    },
-    "frontend-developer": {
-      "current": {
-        "description": "Handles UI implementation with multimodal capabilities. Accepts visual references like screenshots and mockups (GNS-2 Tier 1)",
-        "mode": "all",
-        "model": "ollama-cloud/minimax-m2.5",
-        "provider": "Ollama",
-        "color": "\"#0EA5E9\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "af5f401",
-          "type": "agent_created",
-          "from": null,
-          "to": "ollama-cloud/qwen3-coder:480b",
-          "reason": "Flutter development support added",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T17:00:00Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3-coder:480b",
-          "to": "ollama-cloud/minimax-m2.5",
-          "reason": "Matrix score 92 for frontend on M2.5. SWE-bench 80.2%.",
-          "source": "research"
-        }
-      ],
-      "performance_log": []
-    },
-    "backend-developer": {
-      "current": {
-        "description": "Backend specialist for Node.js, Express, APIs, and database integration (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "color": "\"#10B981\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "go-developer": {
-      "current": {
-        "description": "Go backend specialist for Gin, Echo, APIs, and database integration (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#00ADD8\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/deepseek-v3.2",
-          "to": "ollama-cloud/qwen3-coder:480b",
-          "reason": "Qwen3-Coder optimized for Go",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T17:00:00Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3-coder:480b",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Matrix score 88 for go-dev on V4-Pro. DeepSeek traditionally strong in Go/Rust.",
-          "source": "research"
-        }
-      ],
-      "performance_log": []
-    },
-    "sdet-engineer": {
-      "current": {
-        "description": "Writes tests following TDD methodology. Tests MUST fail initially (Red phase) (GNS-2 Tier 1)",
-        "mode": "all",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#8B5CF6\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "code-skeptic": {
-      "current": {
-        "description": "Adversarial code reviewer. Finds problems and issues. Does NOT suggest implementations (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/minimax-m2.5",
-        "provider": "Ollama",
-        "color": "\"#E11D48\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "security-auditor": {
-      "current": {
-        "description": "Scans for security vulnerabilities, OWASP Top 10, dependency CVEs, and hardcoded secrets (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#DC2626\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/deepseek-v3.2",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Nemotron 3 Super optimized for security analysis",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "V4-Pro Max matrix=80 vs nemotron=76. SWE-V 80.6, 1M context.",
-          "source": "orchestrator-analysis"
-        }
-      ],
-      "performance_log": []
-    },
-    "performance-engineer": {
-      "current": {
-        "description": "Reviews code for performance issues. Focuses on efficiency, N+1 queries, memory leaks, and algorithmic complexity (GNS-2 Tier 0)",
-        "mode": "all",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#0D9488\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Better reasoning for performance analysis",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Matrix=84 for perf-engineer on V4-Pro. GPQA 90.1 for reasoning.",
-          "source": "orchestrator-analysis"
-        }
-      ],
-      "performance_log": []
-    },
-    "browser-automation": {
-      "current": {
-        "description": "Browser automation agent using Playwright MCP for E2E testing, form filling, navigation, and web interaction (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "color": "\"#1E88E5\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "visual-tester": {
-      "current": {
-        "description": "Visual regression testing agent that compares screenshots and detects UI differences using pixelmatch and image diff (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "color": "\"#E91E63\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "system-analyst": {
-      "current": {
-        "description": "Designs technical specifications, data schemas, and API contracts before implementation (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#0891B2\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/glm-5",
-          "reason": "GLM-5 better for system engineering",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T16:59:52Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Test recommendation for model research sync script",
-          "source": "research"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Reverted: GLM-5.1 Arena ELO 1451, instruction following ~90. Standardization with 12 other agents.",
-          "source": "orchestrator-analysis"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "requirement-refiner": {
-      "current": {
-        "description": "Converts vague ideas and bug reports into strict User Stories with acceptance criteria checklists (GNS-2 Tier 1)",
-        "mode": "all",
-        "model": "ollama-cloud/kimi-k2-thinking",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#4F46E5\"",
-        "category": "General"
-      },
-      "history": [
-        {
-          "date": "2026-04-05T22:30:00Z",
-          "commit": "auto",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/glm-5",
-          "reason": "+33% quality. GLM-5 excels at requirement analysis",
-          "source": "research"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/kimi-k2.6",
-          "reason": "kimi-k2.6 IF=91 highest, multimodal for mockup understanding. Matrix ~88-90 for req-refiner.",
-          "source": "orchestrator-analysis"
-        },
-        {
-          "date": "2026-05-23T23:35:02.184Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/kimi-k2.6",
-          "to": "ollama-cloud/kimi-k2-thinking",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "history-miner": {
-      "current": {
-        "description": "Analyzes git history to find duplicates and past solutions, preventing regression and duplicate work (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/nemotron-3-super",
-        "provider": "Ollama",
-        "color": "\"#059669\"",
-        "category": "General"
-      },
-      "history": [
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "capability-analyst": {
-      "current": {
-        "description": "Analyzes task requirements against available agents, workflows, and skills. Identifies gaps and recommends new components. Tier 2 meta-agent with self-cascade enabled.",
-        "mode": "subagent",
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "color": "\"#6366F1\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T22:30:00Z",
-          "commit": "auto",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "openrouter/qwen/qwen3.6-plus:free",
-          "reason": "+23% quality, IF:90, FREE via OpenRouter",
-          "source": "research"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "orchestrator": {
-      "current": {
-        "description": "Main dispatcher. Routes tasks between agents based on Issue status and manages the workflow state machine. IF:90 for optimal routing accuracy. (GNS-2 Tier 1)",
-        "mode": "all",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#7C3AED\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T20:28:58Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/kimi-k2.6",
-          "reason": "kimi-k2.6 best fit for orchestration (92). 300 sub-agent swarm.",
-          "source": "research"
-        }
-      ],
-      "performance_log": []
-    },
-    "release-manager": {
-      "current": {
-        "description": "Manages git operations, semantic versioning, branching, and deployments. Ensures clean history (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "color": "\"#581C87\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/devstral-2:123b",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "evaluator": {
-      "current": {
-        "description": "Scores agent effectiveness after task completion for continuous improvement. Tier 2 meta-agent with self-cascade enabled.",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3.5-122b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#047857\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Nemotron 3 Super better for evaluation tasks",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-05T22:30:00Z",
-          "commit": "auto",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "openrouter/qwen/qwen3.6-plus:free",
-          "reason": "+4% quality, IF:90 for scoring accuracy, FREE",
-          "source": "research"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/qwen3.5-122b",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "prompt-optimizer": {
-      "current": {
-        "description": "Improves agent system prompts based on performance failures. Meta-learner for prompt optimization (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3.5-122b",
-        "provider": "Ollama",
-        "color": "\"#BE185D\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Research recommendation applied",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/qwen3.5",
-          "reason": "MIGRATION: qwen3.6-plus was OpenRouter (not Ollama Cloud). qwen3.5 has IF=92, updated 2 days ago, 12.4M pulls.",
-          "source": "orchestrator-analysis"
-        },
-        {
-          "date": "2026-05-23T23:35:02.184Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3.5",
-          "to": "ollama-cloud/qwen3.6-plus",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3.6-plus",
-          "to": "ollama-cloud/qwen3.5-122b",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "the-fixer": {
-      "current": {
-        "description": "Iteratively fixes bugs based on specific error reports and test failures (GNS-2 Tier 1)",
-        "mode": "all",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "color": "\"#F59E0B\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "product-owner": {
-      "current": {
-        "description": "Manages issue checklists, status labels, tracks progress and coordinates with human users (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "color": "\"#EA580C\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/glm-5",
-          "reason": "GLM-5 good for management tasks",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "workflow-architect": {
-      "current": {
-        "description": "Creates and maintains workflow definitions with complete architecture, Gitea integration, and quality gates (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3.5-122b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#EC4899\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/qwen3.5-122b",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "markdown-validator": {
-      "current": {
-        "description": "Validates and corrects Markdown descriptions for Gitea issues (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#F97316\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/nemotron-3-nano:30b",
-          "reason": "Nano efficient for lightweight validation tasks",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-nano:30b",
-          "to": "ollama-cloud/nemotron-3-nano",
-          "reason": "Unified naming. Nano IF=68, tiny and cheap, perfect for validation.",
-          "source": "orchestrator-analysis"
-        },
-        {
-          "date": "2026-05-23T23:35:02.185Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-nano",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "agent-architect": {
-      "current": {
-        "name": "Agent Architect",
-        "mode": "subagent",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "description": "Creates, modifies, and reviews new agents, workflows, and skills based on capability gap analysis. Tier 2 meta-agent with self-cascade enabled.",
-        "color": "\"#8B5CF6\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T22:30:00Z",
-          "commit": "auto",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "openrouter/qwen/qwen3.6-plus:free",
-          "reason": "+22% quality, IF:90 for YAML frontmatter generation",
-          "source": "research"
-        },
-        {
-          "date": "2026-04-23T06:24:32Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "openrouter/qwen/qwen3.6-plus:free",
-          "to": "ollama-cloud/glm-5.1",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/kimi-k2.6",
-          "reason": "kimi-k2.6 best fit for agent-architect (86). Multimodal for reviewing UI components.",
-          "source": "orchestrator-analysis"
-        }
-      ],
-      "performance_log": []
-    },
-    "planner": {
-      "current": {
-        "description": "Advanced task planner using Chain of Thought, Tree of Thoughts, and Plan-Execute-Reflect (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#F59E0B\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Nemotron 3 Super excels at planning",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T17:00:00Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Matrix score 88 for planner on V4-Pro. GPQA 90.1.",
-          "source": "research"
-        }
-      ],
-      "performance_log": []
-    },
-    "reflector": {
-      "current": {
-        "description": "Self-reflection agent using Reflexion pattern - learns from mistakes (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#10B981\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "Better for reflection tasks",
-          "source": "git"
-        },
-        {
-          "date": "2026-04-27T17:00:00Z",
-          "commit": "model-research-sync",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Matrix score 84. Strong reasoning chains.",
-          "source": "research"
-        }
-      ],
-      "performance_log": []
-    },
-    "memory-manager": {
-      "current": {
-        "description": "Manages agent memory systems - short-term (context), long-term (vector store), and episodic (experiences) (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/deepseek-v4-pro-max",
-        "provider": "Ollama",
-        "color": "\"#8B5CF6\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T05:21:00Z",
-          "commit": "caf77f53c8",
-          "type": "model_change",
-          "from": "ollama-cloud/gpt-oss:120b",
-          "to": "ollama-cloud/nemotron-3-super",
-          "reason": "RULER@1M critical for memory ctx",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-24T01:00:00Z",
-          "commit": "ollama-cloud-consolidation",
-          "type": "model_change",
-          "from": "ollama-cloud/nemotron-3-super",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "MIGRATION: qwen3.6-plus was OpenRouter. deepseek-v4-pro-max has 1M context (same as nemotron), matrix 86, SWE-V 80.6.",
-          "source": "orchestrator-analysis"
-        },
-        {
-          "date": "2026-05-23T23:35:02.184Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/deepseek-v4-pro-max",
-          "to": "ollama-cloud/qwen3.6-plus",
-          "reason": "Model update from sync",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/qwen3.6-plus",
-          "to": "ollama-cloud/deepseek-v4-pro-max",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "devops-engineer": {
-      "current": {
-        "description": "DevOps specialist for Docker, Kubernetes, CI/CD pipeline automation, and infrastructure management (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "color": "\"#FF6B35\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "flutter-developer": {
-      "current": {
-        "description": "Flutter mobile specialist for cross-platform apps, state management, and UI components (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "color": "\"#02569B\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-05T15:00:00Z",
-          "commit": "af5f401",
-          "type": "agent_created",
-          "from": null,
-          "to": "ollama-cloud/qwen3-coder:480b",
-          "reason": "New agent for Flutter development",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "architect-indexer": {
-      "current": {
-        "description": "Indexes and maps project codebase architecture into .architect/ directory. Creates and maintains structured documentation of entities, APIs, DB schema, file graphs, and conventions. (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#10B981\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "php-developer": {
-      "current": {
-        "description": "PHP backend specialist for Laravel, Symfony, WordPress, and full-stack web applications (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#8B5CF6\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "pipeline-judge": {
-      "current": {
-        "description": "Automated pipeline judge. Evaluates workflow execution by running tests, measuring token cost and wall-clock time. Produces objective fitness scores. Never writes code - only measures and scores. (GNS-2 Tier 0)",
-        "mode": "subagent",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "color": "\"#DC2626\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [
-        {
-          "date": "2026-04-06T00:23:50+0100Z",
-          "commit": "fa68141d",
-          "type": "agent_created",
-          "from": null,
-          "to": "",
-          "reason": "feat: add pipeline-judge agent and evolution workflow system",
-          "source": "git"
-        },
-        {
-          "date": "2026-05-25T13:37:20.281Z",
-          "commit": "sync",
-          "type": "model_change",
-          "from": "ollama-cloud/glm-5.1",
-          "to": "ollama-cloud/kimi-k2.6",
-          "reason": "Model update from sync",
-          "source": "git"
-        }
-      ],
-      "performance_log": []
-    },
-    "python-developer": {
-      "current": {
-        "description": "Python backend specialist for Django, FastAPI, data science, and API development (GNS-2 Tier 1)",
-        "mode": "subagent",
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#3776AB\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "incident-responder": {
-      "current": {
-        "description": "Server incident response and system hardening specialist. Handles live forensics, malware removal, persistence hunting, SSH-based server cleanup, and post-incident hardening. Works with any OS and panel.",
-        "mode": "subagent",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "color": "\"#B91C1C\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "workflow-cross-checker": {
-      "current": {
-        "description": "Workflow cross-checker and process inspector. Analyzes inter-agent interaction logic, prevents conflicting tasks between agents, validates conformance to project architecture, tracks current state, and asks uncomfortable but important questions before expensive work begins.",
-        "mode": "subagent",
-        "model": "ollama-cloud/kimi-k2.6",
-        "provider": "Ollama",
-        "variant": "thinking",
-        "color": "\"#9333EA\"",
-        "category": "General",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "code": {
-      "current": {
-        "model": "ollama-cloud/qwen3-coder:480b",
-        "provider": "Ollama",
-        "category": "Built-in",
-        "mode": "primary",
-        "color": "#3B82F6",
-        "description": "Primary code writer. Full tool access for development tasks.",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "ask": {
-      "current": {
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "category": "Built-in",
-        "mode": "primary",
-        "color": "#3B82F6",
-        "description": "Read-only Q&A agent for codebase questions.",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "plan": {
-      "current": {
-        "model": "ollama-cloud/nemotron-3-super",
-        "provider": "Ollama",
-        "category": "Built-in",
-        "mode": "primary",
-        "color": "#3B82F6",
-        "description": "Task planner. Creates detailed implementation plans.",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    },
-    "debug": {
-      "current": {
-        "model": "ollama-cloud/glm-5.1",
-        "provider": "Ollama",
-        "category": "Built-in",
-        "mode": "primary",
-        "color": "#3B82F6",
-        "description": "Bug diagnostics and troubleshooting. GLM-5.1 ★88, reasoning for deep debug.",
-        "capabilities": []
-      },
-      "history": [],
-      "performance_log": []
-    }
-  },
-  "providers": {
-    "Ollama": {
-      "models": []
-    },
-    "OpenRouter": {
-      "models": []
-    },
-    "Groq": {
-      "models": []
-    }
-  },
-  "evolution_metrics": {
-    "total_agents": 38,
-    "agents_with_history": 22,
-    "pending_recommendations": 0,
-    "last_sync": "2026-05-25T13:37:20.282Z",
-    "sync_sources": [
-      "git",
-      "capability-index.yaml",
-      "kilo.jsonc"
-    ]
-  }
-};
-
-// Initialize
-async function init() {
-    // Try to load from server first
-    const USE_SERVER = window.location.protocol !== 'file:';
-    let loaded = false;
-    
-    if (USE_SERVER) {
-        try {
-            const response = await fetch('data/agent-versions.json');
-            if (response.ok) {
-                agentData = await response.json();
-                loaded = true;
-            }
-        } catch (error) {
-            console.warn('Server fetch failed, using embedded data:', error.message);
-        }
-    }
-    
-    // Use embedded data as fallback
-    if (!loaded) {
-        agentData = EMBEDDED_DATA;
-        // Show warning for better UX
-        if (!USE_SERVER) {
-            console.info('Running in standalone mode (file://). Data may be outdated.');
-            console.info('Run "bun run sync:evolution" to update embedded data.');
-        }
-    }
-    
-    try {
-        document.getElementById('lastSync').textContent = formatDate(agentData.lastUpdated);
-        document.getElementById('agentCount').textContent = agentData.evolution_metrics.total_agents + ' agents';
-        document.getElementById('historyCount').textContent = agentData.evolution_metrics.agents_with_history + ' with history';
-        
-        if (agentData.evolution_metrics.total_agents === 0) {
-            document.getElementById('lastSync').textContent = 'No data - run sync:evolution';
-            return;
-        }
-        
-        renderOverview();
-        renderAllAgents();
-        renderTimeline();
-        renderRecommendations();
-        renderHeatmap();
-        renderImpact();
-    } catch (error) {
-        console.error('Failed to render dashboard:', error);
-        document.getElementById('lastSync').textContent = 'Error rendering data';
-    }
-}
-
-// Format date
-function formatDate(dateStr) {
-    const date = new Date(dateStr);
-    return date.toLocaleDateString('en-GB', { 
-        day: '2-digit', 
-        month: 'short', 
-        hour: '2-digit', 
-        minute: '2-digit' 
-    });
-}
-
-// Render Overview
-function renderOverview() {
-    const stats = [
-        { label: 'Total Agents', value: agentData.evolution_metrics.total_agents, sub: 'active agents', grad: 'grad-cyan' },
-        { label: 'With History', value: agentData.evolution_metrics.agents_with_history, sub: 'have changes', grad: 'grad-green' },
-        { label: 'Pending Recs', value: agentData.evolution_metrics.pending_recommendations, sub: 'need updates', grad: 'grad-orange' },
-        { label: 'Data Sources', value: agentData.evolution_metrics.sync_sources.length, sub: 'git, yaml, jsonc', grad: 'grad-purple' },
-    ];
-
-    document.getElementById('statsRow').innerHTML = stats.map(s => `
-        <div class="stat-card">
-            <div class="stat-label">${s.label}</div>
-            <div class="stat-value ${s.grad}">${s.value}</div>
-            <div class="stat-sub">${s.sub}</div>
-        </div>
-    `).join('');
-
-    // Recent changes
-    const allHistory = [];
-    for (const [name, agent] of Object.entries(agentData.agents)) {
-        for (const h of agent.history) {
-            allHistory.push({ ...h, agent: name });
-        }
-    }
-    allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
-    const recent = allHistory.slice(0, 10);
-
-    document.getElementById('recentCount').textContent = recent.length;
-    document.getElementById('recentTimeline').innerHTML = recent.length > 0 
-        ? recent.map(h => `
-            <div class="timeline-item">
-                <div class="timeline-date">${formatDate(h.date)}</div>
-                <div class="timeline-content">
-                    <span class="timeline-agent">${h.agent}</span>
-                    <span class="timeline-change">: ${h.type.replace('_', ' ')} from ${h.from || 'none'} to ${h.to}</span>
-                </div>
-            </div>
-        `).join('')
-        : '<p style="color: var(--text-muted);">No history yet</p>';
-
-    // Recommended agents (use inline recs if available)
-    let recAgents = [];
-    if (INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0) {
-        recAgents = INLINE_RECOMMENDATIONS.slice(0, 6).map(r => ({ agent: r.agent, current: { recommendations: [{ priority: r.impact, target: r.source_of_truth_model || r.recommended_model, reason: r.rationale, score_before: r.score_before, score_after: r.score_after, score_delta: r.score_delta }], model: r.current_model_in_agent_versions || r.current_model, category: 'Core Dev', description: '', benchmark: { fit_score: r.score_after || 0 } } }));
-    } else {
-        recAgents = Object.entries(agentData.agents)
-            .filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
-            .slice(0, 6);
-    }
-
-    document.getElementById('recCount').textContent = recAgents.length;
-    if (INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0) {
-        document.getElementById('recAgents').innerHTML = recAgents.map(r => renderRecCard({
-            agent: r.agent,
-            current_model: r.current?.model || '',
-            recommended_model: r.current?.recommendations?.[0]?.target || '',
-            impact: r.current?.recommendations?.[0]?.priority?.toLowerCase() || 'medium',
-            score_before: r.current?.recommendations?.[0]?.score_before || 0,
-            score_after: r.current?.recommendations?.[0]?.score_after || 0,
-            score_delta: r.current?.recommendations?.[0]?.score_delta || 0,
-            rationale: r.current?.recommendations?.[0]?.reason || ''
-        })).join('');
-    } else {
-        document.getElementById('recAgents').innerHTML = recAgents.map(([name, agent]) => 
-            renderAgentCard(name, agent, true)
-        ).join('');
-    }
-}
-
-// Render All Agents
-function renderAllAgents() {
-    const categories = {};
-    for (const [name, agent] of Object.entries(agentData.agents)) {
-        const cat = agent.current.category || 'General';
-        if (!categories[cat]) categories[cat] = [];
-        categories[cat].push([name, agent]);
-    }
-
-    let html = '';
-    for (const [cat, agents] of Object.entries(categories)) {
-        html += `
-            <div class="category-section">
-                <div class="category-header">
-                    <h2 class="category-title">${cat}</h2>
-                    <span class="category-count">${agents.length}</span>
-                </div>
-                <div class="agents-grid">
-                    ${agents.map(([name, agent]) => renderAgentCard(name, agent)).join('')}
-                </div>
-            </div>
-        `;
-    }
-    document.getElementById('agentsByCategory').innerHTML = html;
-}
-
-// Render Agent Card
-function renderAgentCard(name, agent, showRec = false) {
-    const color = agent.current.color || '#6B7280';
-    const hasHistory = agent.history && agent.history.length > 0;
-    const needsUpdate = agent.current.recommendations && agent.current.recommendations.length > 0;
-    const isNew = agent.current.status === 'new';
-    
-    let cardClass = 'agent-card';
-    if (hasHistory) cardClass += ' has-history';
-    if (needsUpdate) cardClass += ' needs-update';
-    if (isNew) cardClass += ' is-new';
-
-    const fitScore = agent.current.benchmark?.fit_score || 0;
-    const scoreClass = fitScore >= 80 ? 'high' : fitScore >= 60 ? 'medium' : 'low';
-
-    let historyHtml = '';
-    if (hasHistory) {
-        historyHtml = `
-            <div class="agent-history">
-                <div class="history-title">History (${agent.history.length} changes)</div>
-                ${agent.history.slice(0, 3).map(h => `
-                    <div class="history-item">
-                        <span class="history-date">${formatDate(h.date)}</span>
-                        <span class="history-type ${h.type}">${h.type.replace('_', ' ')}</span>
-                        <span>${h.from || 'none'} → ${h.to}</span>
-                    </div>
-                `).join('')}
-            </div>
-        `;
-    }
-
-    let recHtml = '';
-    if (showRec && agent.current.recommendations) {
-        recHtml = agent.current.recommendations.map(r => `
-            <div style="margin-top:8px;padding:8px;background:rgba(255,159,67,0.1);border-radius:6px;font-size:0.8em;">
-                <strong style="color:var(--accent-orange);">${r.priority.toUpperCase()}</strong>:
-                Switch to <code>${r.target}</code><br>
-                <span style="color:var(--text-muted)">${r.reason}</span>
-            </div>
-        `).join('');
-    }
-
-    return `
-        <div class="${cardClass}">
-            <div class="agent-header">
-                <div class="agent-name">
-                    <div class="agent-color" style="background: ${color}"></div>
-                    ${name}
-                </div>
-                <span class="agent-category">${agent.current.category}</span>
-            </div>
-            <div class="agent-model">
-                <span>${agent.current.model || 'not set'}</span>
-                ${agent.current.provider ? `<span class="agent-provider">${agent.current.provider}</span>` : ''}
-            </div>
-            <div class="agent-desc">${agent.current.description}</div>
-            <div class="agent-meta">
-                <div class="agent-meta-item">
-                    <div class="agent-meta-label">Mode</div>
-                    <div class="agent-meta-value">${agent.current.mode}</div>
-                </div>
-                <div class="agent-meta-item">
-                    <div class="agent-meta-label">Fit</div>
-                    <div class="agent-meta-value">
-                        <div class="score-bar">
-                            <div class="score-bg"><div class="score-fill ${scoreClass}" style="width:${fitScore}%"></div></div>
-                            <span>${fitScore}</span>
-                        </div>
-                    </div>
-                </div>
-                <div class="agent-meta-item">
-                    <div class="agent-meta-label">Caps</div>
-                    <div class="agent-meta-value">${agent.current.capabilities?.length || 0}</div>
-                </div>
-            </div>
-            ${historyHtml}
-            ${recHtml}
-        </div>
-    `;
-}
-
-// Render Timeline
-function renderTimeline() {
-    const allHistory = [];
-    for (const [name, agent] of Object.entries(agentData.agents)) {
-        for (const h of agent.history) {
-            allHistory.push({ ...h, agent: name });
-        }
-    }
-    allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
-
-    document.getElementById('fullTimeline').innerHTML = allHistory.length > 0
-        ? allHistory.map(h => `
-            <div class="timeline-item">
-                <div class="timeline-date">${formatDate(h.date)} • ${h.commit}</div>
-                <div class="timeline-content">
-                    <span class="timeline-agent">${h.agent}</span>
-                    <span class="timeline-type ${h.type}" style="margin-left:8px;padding:2px 6px;border-radius:4px;font-size:0.8em;background:rgba(0,212,255,0.1);color:var(--accent-cyan)">${h.type.replace('_', ' ')}</span>
-                    <div style="margin-top:4px;color:var(--text-secondary)">
-                        ${h.from ? `<code>${h.from}</code> → ` : ''}<code style="color:var(--accent-green)">${h.to}</code>
-                    </div>
-                    <div style="margin-top:4px;color:var(--text-muted);font-size:0.85em">${h.reason}</div>
-                </div>
-            </div>
-        `).join('')
-        : '<p style="color:var(--text-muted)">No history recorded yet.</p>';
-}
-
-// Render Recommendations (v3 style with swap visuals)
-function renderRecommendations() {
-    // Use inline recommendations or fall back to agent data
-    let recs = [];
-    if (INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0) {
-        recs = INLINE_RECOMMENDATIONS;
-    } else {
-        recs = Object.entries(agentData.agents)
-            .filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
-            .map(([name, agent]) => ({
-                agent: name,
-                current_model: agent.current.model,
-                recommended_model: agent.current.recommendations[0]?.target,
-                impact: agent.current.recommendations[0]?.priority?.toLowerCase() || 'medium',
-                score_before: agent.current.recommendations[0]?.score_before || 0,
-                score_after: agent.current.recommendations[0]?.score_after || 0,
-                score_delta: agent.current.recommendations[0]?.score_delta || 0,
-                rationale: agent.current.recommendations[0]?.reason || ''
-            }));
-    }
-
-    if (recs.length === 0) {
-        document.getElementById('allRecommendations').innerHTML = '<p style="color:var(--text-muted);text-align:center;padding:40px;">No recommendations available</p>';
-        return;
-    }
-
-    document.getElementById('allRecommendations').innerHTML = recs.map(r => renderRecCard(r)).join('');
-}
-
-// Render Recommendation Card (v3 style)
-function renderRecCard(r) {
-    const badgeClass = r.impact || 'low';
-    const fromModel = r.current_model_in_agent_versions || r.current_model || '';
-    const toModel = r.source_of_truth_model || r.recommended_model || '';
-    const fromShort = fromModel.split('/').pop() || fromModel;
-    const toShort = toModel.split('/').pop() || toModel;
-
-    return `
-        <div class="rec-card">
-            <div class="rec-hdr">
-                <div class="rec-agent">
-                    <span class="rec-agent-name">${r.agent}</span>
-                </div>
-                <span class="impact-badge ${badgeClass}">${badgeClass.toUpperCase()}</span>
-            </div>
-            ${fromModel && toModel ? `
-            <div class="swap-vis">
-                <div class="swap-from">${fromShort}</div>
-                <span class="swap-arrow">→</span>
-                <div class="swap-to">${toShort}</div>
-            </div>
-            ` : ''}
-            <div class="rec-metrics">
-                <div class="rec-metric">
-                    <div class="rec-metric-label">Before</div>
-                    <div class="rec-metric-value">${r.score_before || '-'}</div>
-                </div>
-                <div class="rec-metric">
-                    <div class="rec-metric-label">After</div>
-                    <div class="rec-metric-value">${r.score_after || '-'}</div>
-                </div>
-                <div class="rec-metric">
-                    <div class="rec-metric-label">Delta</div>
-                    <div class="rec-metric-value" style="color:${r.score_delta > 0 ? 'var(--accent-green)' : r.score_delta < 0 ? 'var(--accent-red)' : 'var(--text-muted)'}">${r.score_delta > 0 ? '+' : ''}${r.score_delta || 0}</div>
-                </div>
-                <div class="rec-metric">
-                    <div class="rec-metric-label">Impact</div>
-                    <div class="rec-metric-value">${r.impact?.toUpperCase() || 'N/A'}</div>
-                </div>
-            </div>
-            <div class="rec-rationale">${r.rationale || 'No rationale provided'}</div>
-        </div>
-    `;
-}
-
-// Render Heatmap
-function renderHeatmap() {
-    const agents = Object.entries(agentData.agents);
-    if (agents.length === 0) return;
-
-    // Build unique model list from all agents
-    const modelSet = new Set();
-    const modelIfScores = {};
-    agents.forEach(([_, a]) => {
-        const model = a.current.model;
-        if (model) {
-            modelSet.add(model);
-            // Try to get IF score from benchmark, default to 70
-            modelIfScores[model] = a.current.benchmark?.instruction_following || 70;
-        }
-    });
-
-    // Build hmModels array
-    const hmModels = [...modelSet].map(m => {
-        // Extract short name from full model ID
-        let shortName = m;
-        if (m.includes('qwen3-coder')) shortName = 'Qwen3-Coder';
-        else if (m.includes('glm-')) shortName = m.includes('5.1') ? 'GLM-5.1' : 'GLM-5';
-        else if (m.includes('nemotron')) shortName = m.includes('nano') ? 'Nem. Nano' : 'Nem. Super';
-        else if (m.includes('minimax')) shortName = 'MiniMax M2.5';
-        else if (m.includes('kimi')) shortName = 'Kimi K2.6';
-        else if (m.includes('deepseek')) shortName = 'DeepSeek V3';
-
-        // Provider
-        let provider = 'Ollama';
-        if (m.includes('cloud') || m.includes('ollama-cloud')) provider = 'Ollama Cloud';
-        else if (m.includes('openrouter')) provider = 'OpenRouter';
-        else if (m.includes('groq')) provider = 'Groq';
-
-        return {
-            n: shortName,
-            p: provider,
-            if: modelIfScores[m] || 70,
-            full: m
-        };
-    });
-
-    // Build hmAgents array with scores per model
-    const hmAgents = agents.map(([name, agent]) => {
-        const currentModel = agent.current.model;
-        const currentIdx = hmModels.findIndex(m => m.full === currentModel);
-        const fitScore = agent.current.benchmark?.fit_score || 70;
-
-        // Generate scores per model using hash-based randomization
-        const scores = hmModels.map((m, idx) => {
-            if (m.full === currentModel) return fitScore;
-            // Hash-based pseudo-random score between 50-75
-            const hash = (name + m.full).split('').reduce((a, c) => a + c.charCodeAt(0), 0);
-            return 50 + (hash % 26);
-        });
-
-        return {
-            n: name,
-            c: currentIdx,
-            s: scores
-        };
-    });
-
-    // Render the table
-    const t = document.getElementById('hmTable');
-    let h = '<thead><tr><th class="hm-role">Agent</th>';
-    hmModels.forEach(m => {
-        const ifColor = m.if >= 85 ? '#00ff94' : m.if >= 75 ? '#facc15' : '#ff6b81';
-        h += `<th style="writing-mode:vertical-lr;transform:rotate(180deg);max-width:32px;font-size:.56em;padding:3px 1px;">
-            ${m.n}<br>
-            <span style="color:${m.p.includes('Cloud') ? 'var(--accent-cyan)' : 'var(--accent-green)'};font-size:.85em">${m.p}</span><br>
-            <span style="color:${ifColor};font-size:.9em;font-weight:700" title="Instruction Following score">IF:${m.if}</span>
-        </th>`;
-    });
-    h += '</tr></thead><tbody>';
-
-        hmAgents.forEach(ag => {
-        const mx = Math.max(...ag.s);
-        h += `<tr><td class="hm-r">${ag.n}</td>`;
-        ag.s.forEach((s, j) => {
-            const best = s === mx;
-            const cur = j === ag.c;
-            const ifLow = hmModels[j].if < 75;
-            let marks = '';
-            if (best) marks += '<span class="hm-star">★</span>';
-            if (ifLow) marks += '<span class="hm-if-warn">⚠</span>';
-            h += `<td style="background:${hmColor(s)};color:${hmText(s)}" class="${cur ? 'hm-cur' : ''}" title="${ag.n} × ${hmModels[j].n}: ${s}"
-                onmouseover="showTT(event,'${ag.n}','${hmModels[j].n} (${hmModels[j].p})',${s},${best},${cur},${hmModels[j].if})"
-                onmouseout="hideTT()"
-                onclick="openHmModal(event,'${ag.n}','${hmModels[j].n}',${s},${hmModels[j].if})">${s}${marks}</td>`;
-        });
-        h += '</tr>';
-    });
-    t.innerHTML = h + '</tbody>';
-}
-
-function hmColor(v) {
-    if (v >= 88) return 'rgba(0,255,148,.8)';
-    if (v >= 82) return 'rgba(0,212,255,.7)';
-    if (v >= 75) return 'rgba(59,130,246,.6)';
-    if (v >= 68) return 'rgba(168,85,247,.45)';
-    if (v >= 60) return 'rgba(255,159,67,.4)';
-    if (v >= 50) return 'rgba(255,71,87,.3)';
-    return 'rgba(90,104,128,.2)';
-}
-
-function hmText(v) {
-    return v >= 75 ? '#0e1219' : '#e8edf5';
-}
-
-function showTT(e, agent, model, score, best, cur, ifScore) {
-    const b = document.getElementById('ttBox'), o = document.getElementById('ttOverlay');
-    const ifColor = ifScore >= 85 ? '#00ff94' : ifScore >= 75 ? '#facc15' : '#ff6b81';
-    const ifLabel = ifScore >= 85 ? 'Excellent' : ifScore >= 75 ? 'Average' : 'Weak';
-    b.innerHTML = `<h4>${model}</h4><p><strong>Agent:</strong> ${agent}<br><strong>Score:</strong> ${score}/100<br>
-        <strong>Instruction Following:</strong> <span style="color:${ifColor};font-weight:700">${ifScore}/100 (${ifLabel})</span><br>
-        <span style="font-size:.9em;color:var(--text-muted)">Score = benchmark × IF multiplier</span><br>
-        ${ifScore < 75 ? '<span style="color:#ff6b81">⚠ Model poorly follows prompts — score reduced</span><br>' : ''}
-        ${best ? '★ <strong>Best fit</strong><br>' : ''}${cur ? '📌 <strong>Current</strong>' : ''}</p>`;
-    const r = e.target.getBoundingClientRect();
-    b.style.left = Math.min(r.left, window.innerWidth - 320) + 'px';
-    b.style.top = (r.bottom + 6) + 'px';
-    o.classList.add('show');
-}
-
-function hideTT() {
-    document.getElementById('ttOverlay').classList.remove('show');
-}
-
-// Current modal state
-let hmCurrentAgent = null;
-let hmCurrentModel = null;
-let hmCurrentScore = null;
-let hmCurrentIf = null;
-
-function openHmModal(e, agentName, modelName, score, ifScore) {
-    e.stopPropagation();
-    hmCurrentAgent = agentName;
-    hmCurrentModel = modelName;
-    hmCurrentScore = score;
-    hmCurrentIf = ifScore;
-
-    document.getElementById('hmModalTitle').textContent = `${agentName} × ${modelName} — Score: ${score}`;
-    switchHmTab('prompt');
-    document.getElementById('hmModal').style.display = 'flex';
-}
-
-function closeHmModal() {
-    document.getElementById('hmModal').style.display = 'none';
-}
-
-// Close modal when clicking outside
-document.addEventListener('click', function(e) {
-    const modal = document.getElementById('hmModal');
-    if (modal.style.display === 'flex' && !e.target.closest('.modal-content')) {
-        closeHmModal();
-    }
-});
-
-function switchHmTab(tabName) {
-    document.querySelectorAll('.hm-tab-btn').forEach(btn => btn.classList.remove('active'));
-    document.querySelectorAll('.hm-tab-content').forEach(c => c.classList.remove('active'));
-
-    event.target.classList.add('active');
-    renderHmModalContent(tabName);
-}
-
-function renderHmModalContent(tabName) {
-    const body = document.getElementById('hmModalBody');
-    const agent = agentData.agents[hmCurrentAgent];
-
-    if (!agent) {
-        body.innerHTML = '<div class="hm-no-data">No data available for this agent</div>';
-        return;
-    }
-
-    let content = '';
-
-    switch(tabName) {
-        case 'prompt':
-            content = renderPromptTab(agent);
-            break;
-        case 'gitea':
-            content = renderGiteaTab(agent);
-            break;
-        case 'skills':
-            content = renderSkillsTab(agent);
-            break;
-        case 'models':
-            content = renderModelsTab(agent);
-            break;
-    }
-
-    body.innerHTML = `<div class="hm-tab-content active" style="display:block">${content}</div>`;
-}
-
-function renderPromptTab(agent) {
-    const current = agent.current || {};
-    const desc = current.description || 'No description available';
-    const mode = current.mode || 'unknown';
-
-    let historyHtml = '';
-    if (agent.history && agent.history.length > 0) {
-        historyHtml = '<div style="margin-top:16px"><div style="font-size:.8em;color:var(--text-muted);margin-bottom:8px;text-transform:uppercase;">Model History</div>';
-        agent.history.slice().reverse().forEach(h => {
-            historyHtml += `
-                <div style="display:flex;align-items:center;gap:10px;padding:8px;background:var(--bg-deep);border-radius:6px;margin-bottom:6px;border-left:3px solid var(--accent-cyan);">
-                    <span style="font-family:'JetBrains Mono',monospace;font-size:.72em;color:var(--text-muted);min-width:80px">${formatDate(h.date)}</span>
-                    <span style="text-decoration:line-through;color:#ff6b81;background:rgba(255,71,87,.08);padding:2px 6px;border-radius:4px;font-size:.8em">${h.from || 'none'}</span>
-                    <span style="color:var(--accent-green)">→</span>
-                    <span style="color:var(--accent-green);background:rgba(0,255,148,.08);padding:2px 6px;border-radius:4px;font-weight:600;font-size:.8em">${h.to}</span>
-                    ${h.reason ? `<span style="margin-left:auto;font-size:.75em;color:var(--text-muted)">${h.reason}</span>` : ''}
-                </div>
-            `;
-        });
-        historyHtml += '</div>';
-    } else {
-        historyHtml = '<div class="hm-no-data">No history recorded</div>';
-    }
-
-    return `
-        <div class="hm-agent-desc">
-            <strong>Description:</strong> ${desc}
-        </div>
-        <div style="margin-bottom:14px">
-            <span style="font-size:.78em;color:var(--text-muted)">Mode:</span>
-            <span style="font-family:'JetBrains Mono',monospace;font-size:.85em;padding:3px 8px;background:rgba(168,85,247,.15);border-radius:4px;color:var(--accent-purple)">${mode}</span>
-        </div>
-        ${historyHtml}
-    `;
-}
-
-function renderGiteaTab(agent) {
-    if (!agent.history || agent.history.length === 0) {
-        return '<div class="hm-no-data">No history recorded</div>';
-    }
-
-    let html = '<div class="hm-model-timeline">';
-    agent.history.slice().reverse().forEach(h => {
-        const commit = h.commit ? h.commit.substring(0, 7) : 'unknown';
-        html += `
-            <div class="hm-tl-item">
-                <div class="hm-tl-date">${formatDate(h.date)}</div>
-                <div class="hm-tl-change">
-                    <span class="hm-tl-from">${h.from || 'none'}</span>
-                    <span class="hm-tl-arrow">→</span>
-                    <span class="hm-tl-to">${h.to}</span>
-                </div>
-                <span style="font-size:.72em;color:var(--text-muted);margin-left:auto;font-family:'JetBrains Mono',monospace">${commit}</span>
-            </div>
-        `;
-    });
-    html += '</div>';
-    return html;
-}
-
-function renderSkillsTab(agent) {
-    const current = agent.current || {};
-    const category = current.category || 'Unknown';
-    const capabilities = current.capabilities || [];
-
-    let capsHtml = '';
-    if (capabilities.length > 0) {
-        capsHtml = '<div class="hm-capabilities">';
-        capabilities.forEach(cap => {
-            capsHtml += `<span class="hm-cap-tag">${cap}</span>`;
-        });
-        capsHtml += '</div>';
-    } else {
-        capsHtml = '<div class="hm-no-data">No capabilities defined</div>';
-    }
-
-    return `
-        <div style="margin-bottom:16px">
-            <div style="font-size:.78em;color:var(--text-muted);margin-bottom:6px">Category</div>
-            <span style="font-family:'JetBrains Mono',monospace;font-size:.85em;padding:4px 10px;background:rgba(0,212,255,.1);border-radius:6px;color:var(--accent-cyan)">${category}</span>
-        </div>
-        <div>
-            <div style="font-size:.78em;color:var(--text-muted);margin-bottom:8px">Capabilities</div>
-            ${capsHtml}
-        </div>
-    `;
-}
-
-function renderModelsTab(agent) {
-    const current = agent.current || {};
-    const currentModel = current.model || 'unknown';
-
-    if (!agent.history || agent.history.length === 0) {
-        return `
-            <div style="margin-bottom:16px">
-                <div style="font-size:.78em;color:var(--text-muted);margin-bottom:6px">Current Model</div>
-                <div style="padding:10px;background:var(--bg-deep);border-radius:8px;border-left:3px solid var(--accent-green);">
-                    <span style="font-family:'JetBrains Mono',monospace;font-weight:600;color:var(--accent-green)">${currentModel}</span>
-                    <span class="hm-model-tl-score">Current</span>
-                </div>
-            </div>
-            <div class="hm-no-data">No model timeline - this agent has no history</div>
-        `;
-    }
-
-    let html = '<div class="hm-model-timeline">';
-    agent.history.forEach((h, idx) => {
-        const isCurrent = idx === agent.history.length - 1;
-        const score = h.fit_score_after || 0;
-        html += `
-            <div class="hm-tl-item ${isCurrent ? 'hm-tl-current' : ''}">
-                <div class="hm-tl-date">${formatDate(h.date)}</div>
-                <div class="hm-tl-change">
-                    <span class="hm-tl-from">${h.from || 'initial'}</span>
-                    <span class="hm-tl-arrow">→</span>
-                    <span class="hm-tl-to">${h.to}</span>
-                </div>
-                ${score > 0 ? `<span class="hm-model-tl-score">Score: ${score}</span>` : ''}
-            </div>
-        `;
-    });
-
-    // Add current model as final entry
-    html += `
-        <div class="hm-tl-item hm-tl-current">
-            <div class="hm-tl-date">Now</div>
-            <div class="hm-tl-change">
-                <span class="hm-tl-to">${currentModel}</span>
-            </div>
-            <span class="hm-model-tl-score">Current</span>
-        </div>
-    `;
-    html += '</div>';
-    return html;
-}
-
-// Render Impact Tab
-function renderImpact() {
-    const agentsWithHistory = Object.entries(agentData.agents).filter(([_, a]) => a.history && a.history.length > 0);
-    let totalImprovement = 0;
-    let countWithDeltas = 0;
-    let bestModel = { name: '', score: 0 };
-    let modelScores = {};
-
-    agentsWithHistory.forEach(([name, agent]) => {
-        agent.history.forEach(h => {
-            if (h.from && h.to && h.fit_score_after) {
-                const delta = (h.fit_score_after || 0) - (h.fit_score_before || 0);
-                totalImprovement += delta;
-                countWithDeltas++;
-            }
-        });
-        if (agent.current.benchmark?.fit_score) {
-            modelScores[agent.current.model] = agent.current.benchmark.fit_score;
-        }
-    });
-
-    for (const [model, score] of Object.entries(modelScores)) {
-        if (score > bestModel.score) {
-            bestModel = { name: model, score };
-        }
-    }
-
-    const avgImprovement = countWithDeltas > 0 ? (totalImprovement / countWithDeltas).toFixed(1) : 0;
-    const modelsEvaluated = Object.keys(modelScores).length;
-    const agentsOptimized = agentsWithHistory.length;
-
-    document.getElementById('impactStats').innerHTML = `
-        <div class="stat-card">
-            <div class="stat-label">Average Improvement</div>
-            <div class="stat-value grad-green">+${avgImprovement}%</div>
-            <div class="stat-sub">per model migration</div>
-        </div>
-        <div class="stat-card">
-            <div class="stat-label">Models Evaluated</div>
-            <div class="stat-value grad-cyan">${modelsEvaluated}</div>
-            <div class="stat-sub">unique models</div>
-        </div>
-        <div class="stat-card">
-            <div class="stat-label">Best Model</div>
-            <div class="stat-value grad-purple">${bestModel.name.split('/').pop() || 'N/A'}</div>
-            <div class="stat-sub">score: ${bestModel.score}</div>
-        </div>
-        <div class="stat-card">
-            <div class="stat-label">Agents Optimized</div>
-            <div class="stat-value grad-orange">${agentsOptimized}</div>
-            <div class="stat-sub">with history</div>
-        </div>
-    `;
-
-    drawImpactChart(agentsWithHistory);
-}
-
-// Draw Impact Chart (simplified from v3)
-function drawImpactChart(agentsWithHistory) {
-    const container = document.getElementById('impactChartContainer');
-    if (!container) return;
-
-    const impactData = [];
-    agentsWithHistory.forEach(([name, agent]) => {
-        if (agent.history && agent.history.length > 0) {
-            const latest = agent.history[agent.history.length - 1];
-            if (latest.fit_score_before && latest.fit_score_after) {
-                impactData.push({
-                    agent: name,
-                    before: latest.fit_score_before,
-                    after: latest.fit_score_after,
-                    delta: latest.fit_score_after - latest.fit_score_before
-                });
-            }
-        }
-    });
-
-    if (impactData.length === 0) {
-        container.innerHTML = '<div class="chart-placeholder">Run model benchmarks to see impact data</div>';
-        return;
-    }
-
-    container.innerHTML = '<canvas id="impactCanvas"></canvas>';
-    const canvas = document.getElementById('impactCanvas');
-    const ctx = canvas.getContext('2d');
-
-    const dpr = window.devicePixelRatio || 1;
-    const rect = canvas.getBoundingClientRect();
-    canvas.width = rect.width * dpr;
-    canvas.height = 300 * dpr;
-    ctx.scale(dpr, dpr);
-    canvas.style.width = rect.width + 'px';
-    canvas.style.height = '300px';
-
-    const w = rect.width;
-    const h = 300;
-    const barW = Math.min(80, (w - 60) / impactData.length / 2 - 8);
-    const maxVal = Math.max(...impactData.map(d => Math.max(d.before, d.after)), 100);
-    const scale = (h - 60) / maxVal;
-
-    ctx.clearRect(0, 0, w, h);
-    ctx.fillStyle = '#5a7090';
-    ctx.font = '11px Inter';
-    ctx.textAlign = 'center';
-
-    for (let i = 0; i <= 4; i++) {
-        const y = 30 + i * ((h - 60) / 4);
-        const val = Math.round(maxVal - (i * maxVal / 4));
-        ctx.beginPath();
-        ctx.strokeStyle = '#1e2d45';
-        ctx.moveTo(40, y);
-        ctx.lineTo(w - 10, y);
-        ctx.stroke();
-        ctx.fillText(val, 20, y + 4);
-    }
-
-    impactData.forEach((d, i) => {
-        const x = 55 + i * (barW * 2 + 16);
-        const beforeH = d.before * scale;
-        const afterH = d.after * scale;
-        const yBase = h - 30;
-
-        ctx.fillStyle = 'rgba(255,71,87,0.8)';
-        ctx.fillRect(x, yBase - beforeH, barW, beforeH);
-        ctx.fillStyle = 'rgba(0,255,148,0.8)';
-        ctx.fillRect(x + barW + 4, yBase - afterH, barW, afterH);
-
-        ctx.save();
-        ctx.translate(x + barW, yBase + 12);
-        ctx.rotate(Math.PI / 4);
-        ctx.fillStyle = '#8ba3c0';
-        ctx.font = '10px JetBrains Mono';
-        ctx.textAlign = 'left';
-        ctx.fillText(d.agent.substring(0, 12), 0, 0);
-        ctx.restore();
-    });
-
-    const legendX = w - 120;
-    ctx.fillStyle = 'rgba(255,71,87,0.8)';
-    ctx.fillRect(legendX, 10, 12, 12);
-    ctx.fillStyle = '#e8f1ff';
-    ctx.font = '11px Inter';
-    ctx.textAlign = 'left';
-    ctx.fillText('Before', legendX + 18, 20);
-    ctx.fillStyle = 'rgba(0,255,148,0.8)';
-    ctx.fillRect(legendX + 80, 10, 12, 12);
-    ctx.fillText('After', legendX + 98, 20);
-}
-
-// Filter Agents
-function filterAgents() {
-    const search = document.getElementById('agentSearch').value.toLowerCase();
-    const cards = document.querySelectorAll('.agent-card');
-    cards.forEach(card => {
-        const text = card.textContent.toLowerCase();
-        card.style.display = text.includes(search) ? '' : 'none';
-    });
-}
-
-function filterCategory(category) {
-    document.querySelectorAll('.filter-btn').forEach(btn => btn.classList.remove('active'));
-    event.target.classList.add('active');
-    
-    if (category === 'all') {
-        document.querySelectorAll('.agent-card').forEach(card => card.style.display = '');
-    } else {
-        document.querySelectorAll('.category-section').forEach(section => {
-            const title = section.querySelector('.category-title')?.textContent;
-            section.style.display = title === category ? '' : 'none';
-        });
-    }
-}
-
-// Export
-function exportRecommendations() {
-    let recs = INLINE_RECOMMENDATIONS && INLINE_RECOMMENDATIONS.length > 0 
-        ? INLINE_RECOMMENDATIONS 
-        : Object.entries(agentData.agents)
-            .filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
-            .map(([name, agent]) => ({
-                agent: name,
-                current_model: agent.current.model,
-                recommendations: agent.current.recommendations
-            }));
-
-    const output = {
-        timestamp: new Date().toISOString(),
-        total_recommendations: recs.length,
-        recommendations: recs
-    };
-
-    document.getElementById('exportContent').textContent = JSON.stringify(output, null, 2);
-    document.getElementById('exportModal').classList.add('show');
-}
-
-function copyToClipboard() {
-    const text = document.getElementById('exportContent').textContent;
-    navigator.clipboard.writeText(text);
-    alert('Copied to clipboard!');
-}
-
-function downloadJSON() {
-    const text = document.getElementById('exportContent').textContent;
-    const blob = new Blob([text], { type: 'application/json' });
-    const url = URL.createObjectURL(blob);
-    const a = document.createElement('a');
-    a.href = url;
-    a.download = 'agent-recommendations.json';
-    a.click();
-    URL.revokeObjectURL(url);
-}
-
-function closeModal() {
-    document.getElementById('exportModal').classList.remove('show');
-}
-
-// Tab switching
-function switchTab(tabId) {
-    document.querySelectorAll('.tab-btn').forEach(btn => btn.classList.remove('active'));
-    document.querySelectorAll('.tab-panel').forEach(panel => panel.classList.remove('active'));
-    
-    event.target.classList.add('active');
-    document.getElementById('tab-' + tabId).classList.add('active');
-}
-
-// Initialize on load
-init();
-</script>
-</body>
-</html>
\ No newline at end of file
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/all_agents_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/all_agents_desktop.png
new file mode 100644
index 0000000..8c16fe3
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/all_agents_desktop.png differ
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/heatmap_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/heatmap_desktop.png
new file mode 100644
index 0000000..8262023
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/heatmap_desktop.png differ
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/impact_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/impact_desktop.png
new file mode 100644
index 0000000..ac64a7f
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/impact_desktop.png differ
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/overview_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/overview_desktop.png
new file mode 100644
index 0000000..68ec47b
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/overview_desktop.png differ
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/recommendations_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/recommendations_desktop.png
new file mode 100644
index 0000000..b2a4294
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/recommendations_desktop.png differ
diff --git a/tests/visual/archive/dashboard-tabs-current-2026-05-25/timeline_desktop.png b/tests/visual/archive/dashboard-tabs-current-2026-05-25/timeline_desktop.png
new file mode 100644
index 0000000..ff13511
Binary files /dev/null and b/tests/visual/archive/dashboard-tabs-current-2026-05-25/timeline_desktop.png differ
