head to head · open source
llm-wiki-agent vs OpenContext
llm-wiki-agent has 3,671 GitHub stars, 426 forks, 4 open issues and last shipped 3 days ago. OpenContext has 1,278 stars, 84 forks, 8 open issues and last shipped 5 months ago. llm-wiki-agent leads on adoption by 187% (3,671 vs 1,278 stars). llm-wiki-agent is written in Python under MIT; OpenContext is written in JavaScript under MIT. llm-wiki-agent has attracted 12% as many forks as stars, OpenContext 7%. llm-wiki-agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude-code, codex, 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.
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Side by side
| llm-wiki-agent | OpenContext | |
|---|---|---|
| GitHub stars | ★ 3.7K | ★ 1.3K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-11-02 | 2026-06-16 |
| Forks | ⑂ 426 | ⑂ 84 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llm-wiki-agent if
- You weight community size — 3.7K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick OpenContext if
- You want the OpenContext feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and OpenContext fits your workflow better
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 →
About OpenContext
Give your AI assistant a persistent memory. Stop repeating yourself. Start building smarter. Bring your own coding agent. OpenContext reuses your existing CLI (Codex/Claude/OpenCode) and adds a GUI + built in Skills/tools — no extra agent subscription. 🌐 Website · 📖 Usage Guide · ⬇️ Download Desktop 中文文档 The Problem When you use an AI assistant to build things, context gets lost (across days, repos, chats). You end up re explaining background, repeating decisions, and sometimes the assistant continues with the wrong assumptions. Most tools stop at storage and don't plug into the coding agent you already use…
read the full OpenContext overview →
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Frequently asked questions
Is llm-wiki-agent or OpenContext more popular?
llm-wiki-agent has 3,671 GitHub stars and OpenContext has 1,278. llm-wiki-agent has the larger community by that measure.
Are llm-wiki-agent and OpenContext free?
Both are open source. llm-wiki-agent is licensed under MIT and OpenContext under MIT. Neither carries a licence fee.
What is the difference between llm-wiki-agent and OpenContext?
llm-wiki-agent is written in Python and OpenContext in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, llm-wiki-agent or OpenContext?
Choose llm-wiki-agent if you want the larger community (3,671 stars) or its MIT licence terms. Choose OpenContext if its feature set, stack or MIT licence fits better. Both are self-hostable.