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Dragon-Brain
iikarus February 23, 2026
43 copies 0 downloads
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.
Dragon Brain
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Persistent memory infrastructure for AI agents.
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1,599 memories · 34 MCP tools · Graph + Vector hybrid retrieval · sub-200ms search · 1,166 tests
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, Cursor CLI, VS Code Cursor, 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.
![Dragon Brain Dashboard — 1,599 nodes, 3,120 relationships, graph visualization and health m
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