{"repo":"orneryd/Mimir","free":true,"listed":false,"github":"https://github.com/orneryd/Mimir","clone":"git clone https://github.com/orneryd/Mimir.git","description":"Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration","language":"Go","stars":281,"topics":["codebase","docker","graph-algorithms","graph-api","graph-database","graph-embedding","indexing","llm-orchestration","llmops","llms"],"license":null,"category":"ai-agents","readme_excerpt":"M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository AI-Powered Memory Bank + Task Management Orchestration with Knowledge Graphs Official VSCode Extension Give your AI agents a persistent memory with relationship understanding. Imagine your AI assistant that can remember every task you've discussed, understand how they relate to each other, and recall relevant context from weeks ago. Mimir makes this possible by combining Neo4j's powerful graph database with AI embeddings and the Model Context Protocol. Your AI doesn't just store isolated facts—it builds a living knowledge graph that grows smarter with every conversation. Perfect for developers managing complex projects where tasks depend on each other, contexts overlap, and you need an AI that truly understands your work. Mimir is a Model Context Protocol (MCP) server that provides AI assistants (Claude, ChatGPT, etc.) with a persistent graph database to store tasks, context, and relationships. Instead of forgetting everything between conversations, your AI can remember, learn, and build knowledge over time. --- 📖 Table of Contents - Why Mimir? - What problems does it solve? - Quick Start - Get running in 5 minutes - Configuration - Environment setup - Usage - How to use with AI agents - File Indexing - Index your codebase for RAG - Architecture - How it works - Features - What can it do? - PCTX Integration - 98% token reduction with Code Mode - Troubleshooting - Common issues - Documentation - Learn more --- 🎯","default_branch":null,"files":null,"tree":[],"storefront":"/r/orneryd","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/orneryd/Mimir/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}