MemoryOS
A memory operating system for long-term, personalized AI agents.
wenlanは、7xuanluが公開しているオープンソースのRAG・知識ベースプロジェクトです(GitHub: 7xuanlu/wenlan)。GitHubスターは79、フォークは8で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月4日です。
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.
LibreAIカタログに掲載されたRAG・知識ベースプロジェクトの中で最もスターの多いもの — wenlanが合わなかった場合に検討したい、現実的な候補リストです。
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
カタログの中でwenlanとスター数が近いRAG・知識ベースプロジェクト — 前後の棚もそのまま見て回れます。
A trilingual e-commerce knowledge base agents can install.
A Flutter e-reader and audiobook app with AI chat.
Libratory, in TypeScript — built for your free book and audiobook laboratory. turn the...
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.