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MemoryOS
A memory operating system for long-term, personalized AI agents.
★ 1,6 k étoilesApache-2.0
Voir le guide →wenlan est un projet de RAG et connaissances open source, créé par 7xuanlu (7xuanlu/wenlan sur GitHub). Il compte 79 étoiles sur GitHub et 8 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
Agent-fed knowledge base that distills learnings into cited wiki pages.
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.
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A trilingual e-commerce knowledge base agents can install.
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A self-hostable markdown team wiki with a built-in MCP server.
Run rag-template locally: template for ai chatbots & document management using re.
Skills that let coding agents search and read your local documents.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.