head to head · open source

OpenViking vs llm-wiki-agent

OpenViking has 41,477 GitHub stars, 3,377 forks, 999 open issues and last shipped yesterday. llm-wiki-agent has 3,671 stars, 426 forks, 4 open issues and last shipped 3 days ago. OpenViking leads on adoption by 1,030% (41,477 vs 3,671 stars). OpenViking is written in Python under AGPL-3.0; llm-wiki-agent is written in Python under MIT. OpenViking has attracted 8% as many forks as stars, llm-wiki-agent 12%. 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 llm-wiki-agent ★ 3.7K category Content & Publishing

← all 20902 open source comparisons

Side by side

OpenViking llm-wiki-agent
GitHub stars ★ 41K ★ 3.7K
License AGPL-3.0 MIT
Written in Python Python
Last push 2026-11-04 2026-11-02
Forks ⑂ 3.4K ⑂ 426
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 llm-wiki-agent if

  • You want the llm-wiki-agent feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and llm-wiki-agent fits your workflow better

full llm-wiki-agent 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 llm-wiki-agent

LLM Wiki Agent A coding agent skill. Drop source documents into raw/ and tell the agent to ingest them — it reads them, extracts knowledge, and builds a persistent interlinked wiki. Every new source makes the wiki richer. You never write it. Most knowledge tools make you search your own notes. This one reads everything you've collected and writes a structured wiki that compounds over time — cross references already built, contradictions already flagged, synthesis already done. Related Projects Open Generative AI — Add AI image & video generation to your knowledge base pipeline Open AI Design Agent — Autonomous…

read the full llm-wiki-agent 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 OpenViking or llm-wiki-agent more popular?

OpenViking has 41,477 GitHub stars and llm-wiki-agent has 3,671. OpenViking has the larger community by that measure.

Are OpenViking and llm-wiki-agent free?

Both are open source. OpenViking is licensed under AGPL-3.0 and llm-wiki-agent under MIT. Neither carries a licence fee.

What is the difference between OpenViking and llm-wiki-agent?

OpenViking is written in Python and llm-wiki-agent 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 llm-wiki-agent?

Choose OpenViking if you want the larger community (41,477 stars) or its AGPL-3.0 licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.