head to head · open source

Docs vs llm-wiki-agent

Docs has 16,965 GitHub stars, 693 forks, 370 open issues and last shipped 2 days ago. llm-wiki-agent has 3,671 stars, 426 forks, 4 open issues and last shipped 3 days ago. Docs leads on adoption by 362% (16,965 vs 3,671 stars). Docs is written in TypeScript under MIT; llm-wiki-agent is written in Python under MIT. Docs has attracted 4% as many forks as stars, llm-wiki-agent 12%. Docs was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (knowledge-base), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Docs ★ 17K llm-wiki-agent ★ 3.7K category Content & Publishing

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Side by side

Docs llm-wiki-agent
GitHub stars ★ 17K ★ 3.7K
License MIT MIT
Written in TypeScript Python
Last push 2026-11-03 2026-11-02
Forks ⑂ 693 ⑂ 426
Self-hosting Yes Yes
Data ownership Your server Your server

pick Docs if

  • You weight community size — 17K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Docs profile →

pick llm-wiki-agent if

  • You want the llm-wiki-agent feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and llm-wiki-agent fits your workflow better

full llm-wiki-agent profile →

About Docs

Chat on Matrix • Documentation • Try Docs • Contact us La Suite Docs: Collaborative Text Editing Docs, where your notes can become knowledge through live collaboration. Docs is an open source collaborative editor that helps teams write, organize, and share knowledge together in real time. What is Docs? Docs is an open source alternative to tools like Notion or Google Docs, focused on: Real time collaboration Clean, structured documents Knowledge organization Data ownership & self hosting Built for public organizations, companies, and open communities. Why use Docs? Writing Rich text & Markdown editing Slash…

read the full Docs overview →

About llm-wiki-agent

LLM Wiki Agent A coding agent skill. Drop source documents into raw/ and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it. Most knowledge tools make you search your own notes. This one reads everything you've collected and writes a structured wiki that compounds over time — cross references already built, contradictions already flagged, synthesis already done. Related Projects Open Generative AI — Add AI image & video generation to your knowledge base pipeline Open AI Design Agent — Autonomous…

read the full llm-wiki-agent overview →

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Frequently asked questions

Is Docs or llm-wiki-agent more popular?

Docs has 16,965 GitHub stars and llm-wiki-agent has 3,671. Docs has the larger community by that measure.

Are Docs and llm-wiki-agent free?

Both are open source. Docs is licensed under MIT and llm-wiki-agent under MIT. Neither carries a licence fee.

What is the difference between Docs and llm-wiki-agent?

Docs is written in TypeScript and llm-wiki-agent in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Docs or llm-wiki-agent?

Choose Docs if you want the larger community (16,965 stars) or its MIT licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.