Dragon Brain
未认领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.
安装
claude mcp add dragon-brain -- python -m claude_memory.server更多Search & Web服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
10 个工具中显示 10 个
文档中列出的工具 (10)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
add_observation
Attach a fact or note to an existing entity
create_entity
Store a new person, project, concept, or any typed node
create_relationship
Link two entities with a typed, weighted edge
get_hologram
Get an entity with its full connected context (neighbors, observations, relationships)
get_neighbors
Explore what's directly connected to an entity
graph_health
Get stats on your memory graph — node counts, edge density, orphans
point_in_time_query
Query the graph as it existed at a specific timestamp
record_breakthrough
Mark a significant learning moment for future reference
search_memory
Semantic + graph hybrid search across all memories
semantic_radar
Discover missing relationships via vector-graph gap analysis