head to head · open source

docsify vs llm-wiki-agent

docsify has 31,513 GitHub stars, 5,789 forks, 94 open issues and last shipped yesterday. llm-wiki-agent has 3,530 stars, 404 forks, 4 open issues and last shipped yesterday. docsify leads on adoption by 793% (31,513 vs 3,530 stars). docsify is written in JavaScript under MIT; llm-wiki-agent is written in Python under MIT. docsify has attracted 18% as many forks as stars, llm-wiki-agent 11%. llm-wiki-agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (markdown), 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.

docsify ★ 32K llm-wiki-agent ★ 3.5K category Content & Publishing

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Side by side

docsify llm-wiki-agent
GitHub stars ★ 32K ★ 3.5K
License MIT MIT
Written in JavaScript Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 5.8K ⑂ 404
Self-hosting Yes Yes
Data ownership Your server Your server

pick docsify if

  • You weight community size — 32K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full docsify 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 docsify

Docsify is a client side documentation site generator that turns one or more Markdown files into a website with no build process, aimed at developers and maintainers who want to publish documentation from a static host such as GitHub Pages.

read the full docsify overview →

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 →

More in Content & Publishing

next.js ★ 142K storybook ★ 91K hugo ★ 90K Understand-Anything ★ 83K Strapi ★ 73K nuxt ★ 61K

Related comparisons

storybook vs docsify understand-anything vs docsify storybook vs understand-anything storybook vs devdocs understand-anything vs devdocs storybook vs wiki storybook vs mkdocs-material understand-anything vs wiki next-js vs nuxt next-js vs gatsby next-js vs ghost next-js vs jekyll next-js vs hexo next-js vs nextra next-js vs kit next-js vs vike hugo vs strapi hugo vs payload hugo vs halo hugo vs filament strapi vs payload strapi vs halo hugo vs wagtail hugo vs decap-cms

More Documentation & Knowledge Base projects

Compare either of these against the rest of the Documentation & Knowledge Base field.

docsify vs storybook docsify vs Understand-Anything docsify vs devdocs docsify vs wiki docsify vs mkdocs-material docsify vs BookStack docsify vs deepwiki-open docsify vs Docs docsify vs jsdoc docsify vs Skill_Seekers docsify vs gollum docsify vs cheat

Frequently asked questions

Is docsify or llm-wiki-agent more popular?

docsify has 31,513 GitHub stars and llm-wiki-agent has 3,530. docsify has the larger community by that measure.

Are docsify and llm-wiki-agent free?

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

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

docsify is written in JavaScript 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, docsify or llm-wiki-agent?

Choose docsify if you want the larger community (31,513 stars) or its MIT licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.