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  "slug": "openwiki",
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  "title": "OpenWiki",
  "description": "MIT-licensed TypeScript CLI from LangChain that writes and maintains agent-readable documentation of your codebase, so a coding agent has persistent context instead of re-deriving your repo on every task. It keeps state locally in ~/.openwiki and works against local repositories; it can run through local model backends (Ollama, LM Studio, any OpenAI-compatible endpoint) or hosted providers, so you are not forced onto a paid key.",
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  "one_liner": "OpenWiki is a CLI that writes and maintains agent-readable docs of your codebase, so coding agents stop re-learning your repo from scratch on every task.",
  "open_source": "yes",
  "self_hostable": "yes",
  "pricing_model": "free",
  "who_its_for": "Teams whose codebase has outgrown what an agent can hold in one context window — where every task starts with the agent re-reading the repo — and who want a maintained doc layer it can load instead, ideally runnable against a local model.",
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    "source_id": "https://github.com/langchain-ai/openwiki",
    "note": "MIT, TypeScript, ~16.6k stars, ~404 commits, local ~/.openwiki state, and support for local backends (Ollama / LM Studio / OpenAI-compatible) alongside hosted providers all confirmed on the repo (WebFetch 2026-09-16, published under the langchain-ai org). 'Agent documentation for your codebase' is the repo's own framing; how much it improves a given agent's task success is workflow-dependent and not independently benchmarked here."
  },
  "caveats": "It generates and maintains docs — the docs are only as trustworthy as the last run, so stale generation can mislead an agent as easily as help it; treat it as a maintained layer to keep current, not a one-time export. Full model coverage spans thirteen providers, but the free path is the local backends; hosted models still cost per token.",
  "lead": "MIT-licensed TypeScript CLI from LangChain that writes and maintains agent-readable documentation of your codebase, giving a coding agent persistent context instead of making it re-derive the repo on every task. It stores state locally in ~/.openwiki and operates on local repositories, and it can run through local model backends (Ollama,…",
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      "est_tokens": 115,
      "text": "MIT-licensed TypeScript CLI from LangChain that writes and maintains agent-readable documentation of your codebase, giving a coding agent persistent context instead of making it re-derive the repo on every task. It stores state locally in ~/.openwiki and operates on local repositories, and it can run through local model backends (Ollama, LM Studio, any OpenAI-compatible endpoint) as well as hosted providers, so a paid key is optional rather than required."
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      "text": "context instead of making it re-derive the repo on every task. It stores state locally in ~/.openwiki and operates on local repositories, and it can run through local model backends (Ollama, LM Studio, any OpenAI-compatible endpoint) as well as hosted providers, so a paid key is optional rather than required.\n\n- MIT, TypeScript, ~16.6k stars, ~404 commits, local-state model and local-backend support independently WebFetch-verified on the repo 2026-09-16 (github.com/langchain-ai/openwiki, published under the langchain-ai org).\n- Surfaced via the 2026-09-16 viral-posts brief (a post framing it as codebase memory for coding agents); catalogued on the verified repo facts.\n- Curated from the GTM Stacker signal registry (2026-09-16 pass); license independently verified 2026-09-16."
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      "text": "support independently WebFetch-verified on the repo 2026-09-16 (github.com/langchain-ai/openwiki, published under the langchain-ai org). - Surfaced via the 2026-09-16 viral-posts brief (a post framing it as codebase memory for coding agents); catalogued on the verified repo facts. - Curated from the GTM Stacker signal registry (2026-09-16 pass); license independently verified 2026-09-16.\n\nThe quiet tax on agent-built GTM tooling is context: past a certain repo size, every task begins with the agent re-reading the codebase, burning tokens and still missing things. OpenWiki's bet is to keep a maintained, agent-readable doc layer the agent can load instead — persistent memory of what the repo is and how it fits together. It is MIT, runs against local models, and comes from LangChain, which is a credible source for this exact problem. The catch is the failure mode of any generated-docs tool: stale docs can steer an agent wrong just as confidently as good ones help, so this is a keep-it-current layer, not a set-and-forget export. For a team maintaining more agent-written code than any one context can hold, that trade is usually worth making."
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