AI-powered RAG agent that accesses and updates your Obsidian notes, integrates internet search, with a FastAPI web interface.

A self-hosted AI knowledge platform combining Obsidian, AnythingLLM, Ollama, and MCP agents to enable RAG, web search, and AI-augmented note workflows while keeping all data private.

告别低效刷题！本项目提供一套完整的本地算法备考环境： 🤖 Agentic RAG：智能路由问题，精准检索本地5400+题库与面经。 🎨 沉浸式UI：支持Steam壁纸同步画廊、毛玻璃特效与专注模式切换。 ⚡ 极速搜索：支持按公司（阿里/字节/华为等）、考点、分类进行毫秒级过滤。 📝 Obsidian生态闭环：开启后AI流式回复自动增量写入，并按题目智能分类归档。 后端基于FastAPI + LangChain + ChromaDB，前端原生JS实现现代桌面级交互体验。

A-MEM paper implementation: an agentic memory system that self-organizes conversations into structured, semantically-linked notes. Compare with Linear RAG and Context Window baselines via a web dashboard. Obsidian-compatible export.

Turn your Obsidian vault into a native AI knowledge base for Claude Code. Hybrid search, MCP tools, auto-sync, 100% local.

obsidian rag agent initial version

Professional AI agent platform for Obsidian with local and cloud AI support, advanced RAG, and specialized knowledge assistants.

Agentic AI Knowledge Base Chrome Extension — Extract full web articles as Obsidian-compatible Markdown for RAG pipelines, AI agent swarms, and knowledge management. Built with Claude Code.

Universal RAG Knowledge System - A shared brain for AI agents. Ingests Obsidian vaults and codebases into searchable ChromaDB with MCP + REST API interfaces.

Imagine AI Alignment X Multi AGent System (Langgraph, Intelligent RAG, Note taking, Continuous Running, , Adaptive Obsidian memory sync, Agent Building Agent V1 (V2 will be closed source in case startup traction), Context Aware Novelty, Speedup with Optimization Frameworks. Seeking to get Prototype V1 by November 25th

An Obsidian vault template with hierarchical index files and RAG-optimized structure for LLM agents. Features semantic tagging, structured summaries, and efficient AI navigation while maintaining human readability. Perfect for AI-augmented knowledge management and GitHub-connected documentation workflows.

Three-stage AI system that creates structured notes using the Noma method, auto-links them in your Obsidian vault via RAG, then challenges your arguments with an adversarial agent. Combats echo chambers by systematically opposing ideas using your own knowledge base. Built with LangGraph, ChromaDB, local Ollama. Telegram bot interface (later).

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ObsidianMd Agentic RAG/CAG with MCP

Agentic Rag Over Obsidian Vault

A local obsidian-linked RAG agent for querying your knowledge base.

Philosophical AI Agent - Socratic dialogue with SEP RAG and Obsidian integration

Creating a local RAG agent to QA with my obsidian vault

Obsidian RAG agent that follows links to "connect the dots" of second brain

Daemon - The local-first Cognitive Engine for Obsidian. Ghost text completions, agentic file operations, and RAG-powered chat.

OpenClaw-Obsidian Knowledge Bridge Local RAG middleware that grants OpenClaw (AI Agent) semantic understanding and retrieval capabilities over your Obsidian vault.

RAG agent for your local Obsidian vault. Uses Gemini for embeddings + answers, ChromaDB for vector storage.

Obsidian plugin experimenting with LLM-powered agents that can search, read, and modify the vault using RAG, with explicit human-in-the-loop approval.

Developed AI assistant system integrating Gmail and Obsidian for automated email replies using contextual RAG workflows, Implemented Qdrant-based knowledge base to unify personal notes and emails for intelligent, context-aware automation, Built CrewAI multi-agent pipelines for chunk extraction, context generation, email categorization, & response