dsh-orcana
Runtime governance for DeepSeek Harness: progress governor, evidence freshness, completion guard, capability router (Same model. Same DSH. One runtime intervention.)
DeepSeek Harness 的运行时治理：进度控制、证据新鲜度、完成守卫、能力路由（同一模型，同一 DSH，一次运行时干预）。
How to install
dsh plugin add github:Leo-Ayh-Oday/dsh-orcana Recommendation signals
Meta
- License
- MIT
- Language
- TypeScript
- GitHub stars
- 0
- mo. downloads
- –
- Last push
- 2026-08-14
- Created
- 2026-08-14
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:0xsline/awesome-deepseek-harness
- Topics
- deepseek-harness, dsh-plugin, dsh-plugin-bundle
Related plugins
ruflo
ruvnet/claude-flow
🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
sandbase-harness
sandbaseai/sandbase-harness
Open-source CMA-compatible agent runtime for any model, with MCP tools, sandboxed sessions, audit, replay, and a local console. Includes a native DeepSeek Harness bundle over stdio MCP.
modlens
liustack/modlens
Vision bridge for text-only models: paste an image, get structured JSON evidence (OCR, layout, semantics).
pydantic-ai
pydantic/pydantic-ai
How Python does AI: agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.