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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.
Agent Definition
# Dragon Brain
[English](README.md) | [中文](README.zh-CN.md) | [日本語](README.ja.md) | [Español](README.es.md) | [Русский](README.ru.md) | [한국어](README.ko.md) | [Português](README.pt-BR.md) | [Deutsch](README.de.md) | [Français](README.fr.md)
**Persistent memory infrastructure for AI agents.**
[](LICENSE)
[](https://github.com/iikarus/Dragon-Brain/actions/workflows/ci.yml)
[](https://www.python.org/downloads/)
[](docker-compose.yml)
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[](https://github.com/iikarus/Dragon-Brain/stargazers)
> **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](https://modelcontextprotocol.io/).
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 mComments
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