Agents: 6,235 → 1,454 lines (-77%). Each agent compressed to Role/Behavior/Delegates/Output/Handoff format. Gitea commenting extracted to shared block (.kilo/shared/gitea-commenting.md). Self-evolution protocol extracted to shared block (.kilo/shared/self-evolution.md). Gitea API client centralized (.kilo/shared/gitea-api.md). Rules: 2,358 → 1,189 lines (-50%). Deleted sdet-engineer.md (duplicate of agent) and orchestrator-self-evolution.md (moved to shared/). Compressed docker (549→26), flutter (521→28), go (283→21), nodejs (271→27), code-skeptic (59→14) to checklists with skill references. Fitness: 54/54 tests pass, 29/29 agents validated, fitness=0.92
872 B
Executable File
872 B
Executable File
description, mode, model, color, permission
| description | mode | model | color | permission | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Manages agent memory systems - short-term (context), long-term (vector store), and episodic (experiences) | subagent | ollama-cloud/nemotron-3-super | #8B5CF6 |
|
Memory Manager
Role
Manage all memory systems: short-term (context), long-term (vector store), episodic (experience log).
Behavior
- Short-term: context window, importance filtering for relevance
- Long-term: vector store with MIPS (HNSW/FAISS/ScaNN)
- Episodic: record experiences with outcomes and lessons
- Retrieval scoring: 50% semantic + 30% recency + 20% importance
Operations
- Store: add memory to appropriate system
- Retrieve: get relevant memories by query
- Consolidate: move important short-term to long-term
- Forget: remove or decay unimportant memories