head to head · open source
Docs vs llm-wiki-agent
Docs has 16,838 GitHub stars, 639 forks, 370 open issues and last shipped 2 days ago. llm-wiki-agent has 3,542 stars, 407 forks, 4 open issues and last shipped 3 days ago. Docs leads on adoption by 375% (16,838 vs 3,542 stars). Docs is written in Python under MIT; llm-wiki-agent is written in Python under MIT. Docs has attracted 4% as many forks as stars, llm-wiki-agent 11%. 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.
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Side by side
| Docs | llm-wiki-agent | |
|---|---|---|
| GitHub stars | ★ 17K | ★ 3.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 639 | ⑂ 407 |
| 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 Python
- You value the larger contributor base for long-term maintenance
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
About Docs
Docs is an open source collaborative text editor for creating, editing, and sharing documents in real time. It lives in the open source documentation and knowledge base ecosystem, and it is built with Django and React for web native use. The repository describes Docs as a web native editor made for teams that need clean documents and sub documents without surrendering data to a hosted service.
About llm-wiki-agent
LLM Wiki Agent is a Python coding agent skill for building a personal knowledge base. It lives in the coding agent and personal knowledge base ecosystem, where Claude Code, Codex, OpenCode, and Gemini CLI can read configuration files and run workflows. Users place source documents into a raw directory and ask the agent to ingest them. The agent reads the sources, extracts knowledge, and maintains a persistent interlinked markdown wiki.
read the full llm-wiki-agent overview →
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Frequently asked questions
Is Docs or llm-wiki-agent more popular?
Docs has 16,838 GitHub stars and llm-wiki-agent has 3,542. 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 Python 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 (16,838 stars) or its MIT licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.