{"repo":"iikarus/Dragon-Brain","free":true,"listed":false,"github":"https://github.com/iikarus/Dragon-Brain","clone":"git clone https://github.com/iikarus/Dragon-Brain.git","description":"Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cursor, Windsurf, VS Code Copilot. 30 tools, 1121 tests.","language":"Python","stars":50,"topics":["ai-memory","claude","cursor","falkordb","gemini-cli","knowledge-graph","llm-tools","mcp","memory","model-agnostic"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Dragon Brain English 中文 日本語 Español Русский 한국어 Português Deutsch Français Memory infrastructure for AI agents — that fails loud, by design. -blue) 100% LongMemEval R@5 · 34 MCP tools · sub-200ms hybrid search · CI-gated fail-loud contracts · No LLM required An open-source MCP server that gives any LLM long-term memory using a knowledge graph + vector search hybrid. Store entities, observations, and relationships — then recall them semantically across sessions. Works with any MCP client: Claude Code, Claude Desktop, Cursor, Windsurf, Cline, Gemini CLI, VS Code Copilot, or any LLM that speaks Model Context Protocol. Unlike flat chat history or simple RAG, Dragon Brain understands relationships between memories — not just similarity. An autonomous agent (\"The Librarian\") periodically clusters and synthesizes memories into higher-order concepts. And it tells you when it can't remember — instead of pretending the memory was never there. (why this matters →) Quick Start Prerequisites: Docker and Docker Compose. Detailed setup: See docs/SETUP.md for comprehensive instructions including prerequisites, platform-specific notes, and troubleshooting. 1. Start the Services This spins up 4 containers: - FalkorDB (knowledge graph) — port 6379 - Qdrant (vector search) — port 6333 - Embedding API (BGE-M3, CPU default) — port 8001 - Dashboard (Streamlit) — port 8501 GPU users: docker compose --profile gpu up -d for NVIDIA CUDA acceleration. Verify everything is healthy: Alternative: Install v","default_branch":null,"files":null,"tree":[],"storefront":"/r/iikarus","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/iikarus/Dragon-Brain/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."}