head to head · open source
llm-wiki-agent vs MisakaNet
llm-wiki-agent has 3,681 GitHub stars, 427 forks, 4 open issues and last shipped 6 days ago. MisakaNet has 554 stars, 228 forks, 98 open issues and last shipped yesterday. llm-wiki-agent leads on adoption by 564% (3,681 vs 554 stars). llm-wiki-agent is written in Python under MIT; MisakaNet is written in Python under Apache-2.0. llm-wiki-agent has attracted 12% as many forks as stars, MisakaNet 41%. MisakaNet was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (codex), 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 | MisakaNet | |
|---|---|---|
| GitHub stars | ★ 3.7K | ★ 554 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-07 |
| Forks | ⑂ 427 | ⑂ 228 |
| 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 MisakaNet if
- You want the MisakaNet 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 MisakaNet 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 MisakaNet
English 日本語 简体中文 MisakaNet mcp name: io.github.Ikalus1988/misakanet Stop debugging the same error twice. MisakaNet searches 411+ failure lessons so an agent skips the bugs someone already paid for, instead of rediscovering them one session at a time. Agent native interfaces: MCP server (7 tools), WebMCP (browser navigator.modelContext ), llms.txt / llms full.txt , and A2A discovery through .well known/agent card.json . Core Install Ecosystem What is MisakaNet? Git backed failure memory for AI coding agents. An error shows up → the agent searches the lessons → it applies a fix somebody already verified → if…
read the full MisakaNet overview →
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Frequently asked questions
Is llm-wiki-agent or MisakaNet more popular?
llm-wiki-agent has 3,681 GitHub stars and MisakaNet has 554. llm-wiki-agent has the larger community by that measure.
Are llm-wiki-agent and MisakaNet free?
Both are open source. llm-wiki-agent is licensed under MIT and MisakaNet under Apache-2.0. Neither carries a licence fee.
What is the difference between llm-wiki-agent and MisakaNet?
llm-wiki-agent is written in Python and MisakaNet 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, llm-wiki-agent or MisakaNet?
Choose llm-wiki-agent if you want the larger community (3,681 stars) or its MIT licence terms. Choose MisakaNet if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.