head to head · open source
llm-wiki-agent vs edgeever
llm-wiki-agent has 3,671 GitHub stars, 426 forks, 4 open issues and last shipped 3 days ago. edgeever has 3,106 stars, 1,587 forks, 38 open issues and last shipped yesterday. llm-wiki-agent leads on adoption by 18% (3,671 vs 3,106 stars). llm-wiki-agent is written in Python under MIT; edgeever is written in TypeScript under AGPL-3.0. llm-wiki-agent has attracted 12% as many forks as stars, edgeever 51%. edgeever was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agent, 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 | edgeever | |
|---|---|---|
| GitHub stars | ★ 3.7K | ★ 3.1K |
| License | MIT | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-04 |
| Forks | ⑂ 426 | ⑂ 1.6K |
| 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 edgeever if
- You want the edgeever feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and edgeever 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 edgeever
EdgeEver 简体中文 繁體中文 English 日本語 EdgeEver: An open source, AI native knowledge base & portable Evernote alternative. EdgeEver is a modern, open source notes and knowledge base workspace. It revives the beloved Evernote style three pane layout while offering an open data architecture and seamless AI Agent integration for complete ownership and smart productivity. 💡 Serverless & 100% Free Forever EdgeEver can run within Cloudflare's free quotas with no server purchase or VPS maintenance. Users who prefer a VPS, NAS, or home server can deploy the same application with Docker. ⭐ If EdgeEver is useful to you, consider…
read the full edgeever overview →
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Frequently asked questions
Is llm-wiki-agent or edgeever more popular?
llm-wiki-agent has 3,671 GitHub stars and edgeever has 3,106. llm-wiki-agent has the larger community by that measure.
Are llm-wiki-agent and edgeever free?
Both are open source. llm-wiki-agent is licensed under MIT and edgeever under AGPL-3.0. Neither carries a licence fee.
What is the difference between llm-wiki-agent and edgeever?
llm-wiki-agent is written in Python and edgeever in TypeScript. 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 edgeever?
Choose llm-wiki-agent if you want the larger community (3,671 stars) or its MIT licence terms. Choose edgeever if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.