RMA-MUN/RAGNotebook

基于 RAG 的 AI 智能笔记助手「云尚」：FastAPI + LangGraph + ChromaDB + Redis 构建。ReAct / Plan-and-Execute 双 Agent 模式、深度思考、图片/视频多模态、MCP 联网搜索与网页抓取、DeepL 翻译 / Wolfram 计算 / Edge TTS 语音、PPT 生成、记忆压缩、知识库重排序、笔记回收站与邮件导出、Token 用量追踪。后续版本会持续优化并添加Skill功能

The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.

基于 Django + Vue 的 RAG 知识库问答系统，支持 Agent 推理、知识图谱、Wiki 自动生成和跨会话记忆。

An AI second brain that maintains itself. Full guide, starter vault, agent skills and scripts for a self-organizing knowledge base in Claude Code and Obsidian.

Karpathy's LLM Wiki idea as a product — an AI that builds and maintains a markdown wiki from your notes and sources. MCP server + web UI, runs on free local models (Ollama), no API key needed. MIT.

Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software (including a local RAG).

sage-wiki is a graph memory and knowledge base that AI agents and humans build and query together. Drop in documents; an LLM compiler turns them into an interlinked wiki with a knowledge graph. One Go binary scales it from a personal vault to a team hub to a company knowledge graph.