head to head · open source

readme-ai vs llmwiki

readme-ai has 2,988 GitHub stars, 296 forks, 57 open issues and last shipped 4 days ago. llmwiki has 1,629 stars, 235 forks, 28 open issues and last shipped yesterday. readme-ai leads on adoption by 83% (2,988 vs 1,629 stars). readme-ai is written in Python under MIT; llmwiki is written in Python under Apache-2.0. readme-ai has attracted 10% as many forks as stars, llmwiki 14%. llmwiki was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agents, ai-agents), 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.

readme-ai ★ 3.0K llmwiki ★ 1.6K category Content & Publishing

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Side by side

readme-ai llmwiki
GitHub stars ★ 3.0K ★ 1.6K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-19
Forks ⑂ 296 ⑂ 235
Self-hosting Yes Yes
Data ownership Your server Your server

pick readme-ai if

  • You weight community size — 3.0K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full readme-ai profile →

pick llmwiki if

  • You want the llmwiki feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and llmwiki fits your workflow better

full llmwiki profile →

About readme-ai

ReadmeAI is a Python command line tool that automatically generates README files for a codebase by pairing a repository processing engine with large language models, and it is built for developers and maintainers who want structured project documentation without writing it by hand.

read the full readme-ai overview →

About llmwiki

LLM Wiki is an open source, Apache 2.0 Python project that turns a folder of documents, notes, and web clippings into an autonomous, self maintaining personal Wikipedia written and updated by Claude over MCP, built for individual readers, their AI assistants, and organizations that want a knowledge base they do not have to remember to update.

read the full llmwiki overview →

More in Content & Publishing

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

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playwright vs storybook storybook vs understand-anything storybook vs devdocs understand-anything vs devdocs storybook vs docsify storybook vs wiki storybook vs mkdocs-material understand-anything vs docsify react vs next-js react vs nuxt next-js vs vite next-js vs nuxt next-js vs gatsby next-js vs ghost next-js vs jekyll next-js vs hexo supabase vs strapi hugo vs strapi hugo vs jekyll hugo vs payload hugo vs halo strapi vs ghost hugo vs filament strapi vs payload

More Documentation & Knowledge Base projects

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

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

Frequently asked questions

Is readme-ai or llmwiki more popular?

readme-ai has 2,988 GitHub stars and llmwiki has 1,629. readme-ai has the larger community by that measure.

Are readme-ai and llmwiki free?

Both are open source. readme-ai is licensed under MIT and llmwiki under Apache-2.0. Neither carries a licence fee.

What is the difference between readme-ai and llmwiki?

readme-ai is written in Python and llmwiki 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, readme-ai or llmwiki?

Choose readme-ai if you want the larger community (2,988 stars) or its MIT licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.