Dragon Brain

Unclaimed

by iikarus

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.

Install

$claude mcp add dragon-brain -- python -m claude_memory.server

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Tools (10)

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