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View guide →Agent-fed knowledge base that distills learnings into cited wiki pages.
wenlan is an open-source rag & knowledge project by 7xuanlu (7xuanlu/wenlan on GitHub). It has 79 GitHub stars and 8 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 4 October 2026.
Download the source and enter the folder.
Compile the Rust binary.
Install the Claude Code or Codex plugin.
Agents capture learnings into cited pages.
Agents record what they learn.
Wiki pages you can verify.
Knowledge updates as agents work.
Fast, private by default.
Standard protocol for agent input.
Drop-in agent integrations.
Download the source and move into the project folder.
git clone https://github.com/7xuanlu/wenlan.git
cd wenlanCompile the optimized release.
cargo build --releaseLaunch the knowledge base.
./target/release/wenlanIt is an open-source project at 7xuanlu/wenlan with 8 forks.
Yes. It is Apache-2.0 licensed.
AI agents capture learnings through plugins and the MCP server.
Pages carry source citations so claims are checkable.
Local-first — on your own machine by default.
A memory operating system for long-term, personalized AI agents.
Self-improving memory layer that works across AI agent harnesses.
Knowledge-base — 本地优先的知识库桌面应用。markdown 编辑器 + 全文搜索（fts5） + 双向链接 / 知识图谱；多端, publicly avai...
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
A personal knowledge base that builds itself — drop in sources, get a persistent interlinked wiki.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if wenlan is not the right fit.
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Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
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Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Free and open — grab the source, star the repo, and start creating.