head to head · open source
OpenViking vs Skill_Seekers
OpenViking has 41,383 GitHub stars, 3,362 forks, 999 open issues and last shipped yesterday. Skill_Seekers has 15,266 stars, 1,548 forks, 59 open issues and last shipped 1 months ago. OpenViking leads on adoption by 171% (41,383 vs 15,266 stars). OpenViking is written in Python under AGPL-3.0; Skill_Seekers is written in Python under MIT. OpenViking has attracted 8% as many forks as stars, Skill_Seekers 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 | Skill_Seekers | |
|---|---|---|
| GitHub stars | ★ 41K | ★ 15K |
| License | AGPL-3.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-09-30 |
| Forks | ⑂ 3.4K | ⑂ 1.5K |
| 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 Skill_Seekers if
- You want the Skill_Seekers feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Skill_Seekers 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 Skill_Seekers
Skill Seekers English 简体中文 日本語 한국어 Español Français Deutsch Português Türkçe العربية हिन्दी Русский 🧠 The data layer for AI systems. Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more — 18 source types — into structured knowledge assets, ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline). Prepare once, export to 22 targets . 💛 Sponsors Launch Partner Launch Partner Atlas Cloud — A full modal, OpenAI compatible AI inference platform. Skill Seekers supports it as a…
read the full Skill_Seekers overview →
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Frequently asked questions
Is OpenViking or Skill_Seekers more popular?
OpenViking has 41,383 GitHub stars and Skill_Seekers has 15,266. OpenViking has the larger community by that measure.
Are OpenViking and Skill_Seekers free?
Both are open source. OpenViking is licensed under AGPL-3.0 and Skill_Seekers under MIT. Neither carries a licence fee.
What is the difference between OpenViking and Skill_Seekers?
OpenViking is written in Python and Skill_Seekers 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 Skill_Seekers?
Choose OpenViking if you want the larger community (41,383 stars) or its AGPL-3.0 licence terms. Choose Skill_Seekers if its feature set, stack or MIT licence fits better. Both are self-hostable.