head to head · open source

OpenViking vs llmwiki

OpenViking has 41,383 GitHub stars, 3,362 forks, 999 open issues and last shipped yesterday. llmwiki has 1,746 stars, 245 forks, 28 open issues and last shipped 3 days ago. OpenViking leads on adoption by 2,270% (41,383 vs 1,746 stars). OpenViking is written in Python under AGPL-3.0; llmwiki is written in Python under Apache-2.0. OpenViking has attracted 8% as many forks as stars, llmwiki 14%. OpenViking was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (knowledge-base), 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.

OpenViking ★ 41K llmwiki ★ 1.7K category Content & Publishing

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Side by side

OpenViking llmwiki
GitHub stars ★ 41K ★ 1.7K
License AGPL-3.0 Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-10-31
Forks ⑂ 3.4K ⑂ 245
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

full OpenViking 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 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 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 →

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Frequently asked questions

Is OpenViking or llmwiki more popular?

OpenViking has 41,383 GitHub stars and llmwiki has 1,746. OpenViking has the larger community by that measure.

Are OpenViking and llmwiki free?

Both are open source. OpenViking is licensed under AGPL-3.0 and llmwiki under Apache-2.0. Neither carries a licence fee.

What is the difference between OpenViking and llmwiki?

OpenViking 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, OpenViking or llmwiki?

Choose OpenViking if you want the larger community (41,383 stars) or its AGPL-3.0 licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.