imccyu ee1da1ce5b feat(cordis): @deepseek-ai/dsh-tool-cordis — inspect/mount/unmount over the live runtime
New top-level packages/cordis/ group with the self-referential toolset:
cordis_inspect (services / plugin tree / tools / dynamic mounts / api / events,
the api section intersecting the generated catalog with the live service store),
cordis_mount (model-written code evaluated in a node:vm sandbox, mounted under
one cordis-dynamic group fiber as dyn-<n>), cordis_unmount (awaited disposal to
quiescence). Boundary mechanisms: dual-realm instanceof, JSON realm
normalization of dynamic tool results, marker-guarded registration, SchemaSpec
teaching errors, parse failures surfaced with the offending line + caret and a
line-scoped TypeScript hint, and the unmount-first recipe on tool-name
collisions. Config: vmTimeoutMs (schemastery, default 5000). Design record:
docs/rfc/implemented/feature/2026-07-08-self-referential-cordis-toolset.md.

The tool-catalog boot manifest, its regenerated output, and the pinned
tool-name list land here rather than with the other repo registration: the
completeness guard globs packages/*/tool-* and fails the generator (and the
core/tools spec) the moment the package directory exists.
2026-07-09 13:57:03 +08:00
2026-07-06 03:07:35 +08:00
2026-07-05 01:25:58 +08:00

DeepSeek Harness

English | 中文

The DeepSeek Harness SDK is a plugin-based SDK for building agent harnesses.

Development

This monorepo is built on the Cordis framework (vendored as source under vendor/), microkernel-style: everything is a plugin.

pnpm install
pnpm run test          # vitest
pnpm run demo:repl     # REPL agent demo (needs DEEPSEEK_API_KEY)
pnpm run demo:acp      # ACP server agent demo (needs DEEPSEEK_API_KEY)

For humans, start with the development guide for local setup, hooks, environment variables, and quality gates, then read the architecture design and documentation graph index before package work. Local context lives in packages/ and vendor/.

For agents, follow AGENTS.md.

Description
No description provided
Readme MIT 120 MiB
Languages
TypeScript 97%
CSS 1.6%
Python 0.7%
JavaScript 0.6%