head to head · open source
readme-ai vs llm-wiki-compiler
readme-ai has 3,006 GitHub stars, 296 forks, 57 open issues and last shipped 6 days ago. llm-wiki-compiler has 2,233 stars, 238 forks, 6 open issues and last shipped 4 days ago. readme-ai leads on adoption by 35% (3,006 vs 2,233 stars). readme-ai is written in Python under MIT; llm-wiki-compiler is written in TypeScript under MIT. readme-ai has attracted 10% as many forks as stars, llm-wiki-compiler 11%. llm-wiki-compiler was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, cli), 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
| readme-ai | llm-wiki-compiler | |
|---|---|---|
| GitHub stars | ★ 3.0K | ★ 2.2K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-28 | 2026-10-30 |
| Forks | ⑂ 296 | ⑂ 238 |
| 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 llm-wiki-compiler if
- You want the llm-wiki-compiler feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and llm-wiki-compiler 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 llm-wiki-compiler
llmwiki New in 1.3 — A fresh look for your wiki. Meet Scientific Clay, with soft surfaces and rounded typography, and Minimal, which follows your system’s light or dark setting. Switch instantly between four themes, including Nebula Light and Dark. Scientific Clay Minimal The same page in a demonstration wiki. Click either screenshot for a closer look. Recursive source folders, path exclusions, project specific compile instructions, and storage for larger embedding indexes. Configurable Lifecycle Profiles — introduced in 1.0. Build a domain specific wiki with typed records, relationships, lifecycle gates, and…
read the full llm-wiki-compiler overview →
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Frequently asked questions
Is readme-ai or llm-wiki-compiler more popular?
readme-ai has 3,006 GitHub stars and llm-wiki-compiler has 2,233. readme-ai has the larger community by that measure.
Are readme-ai and llm-wiki-compiler free?
Both are open source. readme-ai is licensed under MIT and llm-wiki-compiler under MIT. Neither carries a licence fee.
What is the difference between readme-ai and llm-wiki-compiler?
readme-ai is written in Python and llm-wiki-compiler in TypeScript. 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 llm-wiki-compiler?
Choose readme-ai if you want the larger community (3,006 stars) or its MIT licence terms. Choose llm-wiki-compiler if its feature set, stack or MIT licence fits better. Both are self-hostable.