head to head · open source
readme-ai vs llmwiki
readme-ai has 3,005 GitHub stars, 296 forks, 57 open issues and last shipped yesterday. llmwiki has 1,750 stars, 246 forks, 28 open issues and last shipped 5 days ago. readme-ai leads on adoption by 72% (3,005 vs 1,750 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%. readme-ai 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.
← all 20902 open source comparisons
Side by side
| readme-ai | llmwiki | |
|---|---|---|
| GitHub stars | ★ 3.0K | ★ 1.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-10-31 |
| Forks | ⑂ 296 | ⑂ 246 |
| 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
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
About readme-ai
Designed for simplicity, customization, and developer productivity. The metrics above are rendered with HyperWeave — an experimental SVG artifact layer for agents. Explore → Quick Links Intro Demo Features Quickstart Configuration Example Gallery Contributing Guidelines [!IMPORTANT] Explore the [Official Documentation][docs] for a complete list of features, customization options, and examples. Introduction ReadmeAI is a developer tool that automatically generates README files using a robust repository processing engine and advanced language models. Simply provide a URL or path to your codebase, and a well…
read the full readme-ai overview →
About llmwiki
LLM Wiki An autonomous, self maintaining personal Wikipedia built and maintained by AI. LLM Wiki transforms your scattered reading and research into a persistent, AI maintained second brain. Capture documents, notes, and web clippings as you work, and deploy a nightly Claude Routine to autonomously synthesize those sources into a permanent knowledge base. Because the clipper captures your highlights and margin notes alongside the source, the wiki becomes a record of not just what you read but what you thought about it — one that compounds over months and years, long after the original context would have faded…
read the full llmwiki overview →
More in Content & Publishing
Related comparisons
More Documentation & Knowledge Base projects
Compare either of these against the rest of the Documentation & Knowledge Base field.
Frequently asked questions
Is readme-ai or llmwiki more popular?
readme-ai has 3,005 GitHub stars and llmwiki has 1,750. 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 (3,005 stars) or its MIT licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.