head to head · open source
OpenViking vs readme-ai
OpenViking has 41,383 GitHub stars, 3,362 forks, 999 open issues and last shipped yesterday. readme-ai has 3,006 stars, 296 forks, 57 open issues and last shipped 6 days ago. OpenViking leads on adoption by 1,277% (41,383 vs 3,006 stars). OpenViking is written in Python under AGPL-3.0; readme-ai is written in Python under MIT. OpenViking has attracted 8% as many forks as stars, readme-ai 10%. OpenViking was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| OpenViking | readme-ai | |
|---|---|---|
| GitHub stars | ★ 41K | ★ 3.0K |
| License | AGPL-3.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-28 |
| Forks | ⑂ 3.4K | ⑂ 296 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenViking if
- You weight community size — 41K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick readme-ai if
- You want the readme-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and readme-ai fits your workflow better
About OpenViking
The Context Database for AI Agents English / 中文 / 日本語 Website · Live Demo · GitHub · Issues · Docs · Blog Lark · WeChat · Discord · X What is OpenViking OpenViking is an open source context database for AI agents — one filesystem for everything an agent knows: knowledge, memory, and skills. Most agent memory is a black box: text goes in, embeddings come out, and nobody can see what was actually stored. OpenViking organizes context as a virtual filesystem under viking:// instead. Agents navigate it like files — ls , tree , read , write , grep — and you can open any directory to inspect and edit what your agent…
read the full OpenViking overview →
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 →
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Frequently asked questions
Is OpenViking or readme-ai more popular?
OpenViking has 41,383 GitHub stars and readme-ai has 3,006. OpenViking has the larger community by that measure.
Are OpenViking and readme-ai free?
Both are open source. OpenViking is licensed under AGPL-3.0 and readme-ai under MIT. Neither carries a licence fee.
What is the difference between OpenViking and readme-ai?
OpenViking is written in Python and readme-ai 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, OpenViking or readme-ai?
Choose OpenViking if you want the larger community (41,383 stars) or its AGPL-3.0 licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.