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https://github.com/deepseek-ai/deepseek-harness
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aa36b3b36bcb46ef3c9d37b23c3145439fd7bf1a
Standing docs accrete a paragraph per PR with nothing pushing back; the root AGENTS.md reached 8,130 words in 50 commits with the same rule stated two and three times. This encodes the counter-pressure: - docs/AGENTS.md becomes the documentation standard: the tier taxonomy (one home per fact), target word budgets, and the slop checklist. - verify-doc-budgets joins doc-sync: word ceilings for the six accretion-prone standing docs, manifest-driven, frozen at current sizes and ratcheted down as each doc is brought to target. - .agents/skills/dsh-doc-standards: the thin placement/audit/red-gate workflow over the standard, mirroring the dsh-translate-docs split. - RFC (implemented/process) records the decision, alternatives, and the first audit cycle's deferred work list. The gate's first catch was the standard itself (1,057 > 1,000); it ships condensed to 984 words rather than with a raised ceiling.
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 before package work. Local context lives in packages/ and vendor/.
For agents, follow AGENTS.md.
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