Agent-Reach
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
openwiki ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von langchain-ai (langchain-ai/openwiki auf GitHub). Es hat 17.017 Sterne auf GitHub und 1.245 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 7. Oktober 2026 auf GitHub aktualisiert.
A CLI that writes and maintains agent-ready docs for your codebase.
Choose one concrete task — narrow beats ambitious for a first run.
Fetch the source and skim the docs folder.
Set the environment variables or keys the project needs.
Execute the example workflow and watch what happens.
Docs written for you, from your code.
Structured for machine readers too.
Runs wherever your terminal does.
Re-run as code changes.
Understands structure, not just files.
From a team that knows agents.
Download the source and move into the project folder.
git clone https://github.com/langchain-ai/openwiki.git
cd openwikiPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at langchain-ai/openwiki with 1245 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — it's MIT licensed: free to use, modify, and ship commercially. Just keep the license notice in copies.
Structured documentation of your codebase aimed at both humans and AI agents — run it to see; output is markdown.
Yes — re-running keeps docs in sync as code changes; that's the maintenance half of the pitch.
Clone the repo and follow the README quickstart — the README is the best starting point.
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
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Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls openwiki nicht das Richtige ist.
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Verwandte Projekte der Kategorie KI-Agenten im Katalog, die openwiki bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code /…
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.