Cozo Memory
This is a local-first memory system that runs CozoDB embedded in Node.js, giving Claude persistent storage with hybrid search across vector embeddings, full-text, and graph traversals. It exposes entity CRUD, observation tracking, and three search modes: vector similarity via HNSW, multi-hop graph reasoning, and community-based summaries. The agentic retrieval layer auto-routes queries to the right strategy, and temporal validity lets you query any point in history. Embeddings run locally via ONNX (bge-m3 by default, swap to MiniLM if you're RAM-constrained). Includes LangChain and LlamaIndex adapters. Reach for this when you need structured, queryable memory that goes beyond append-only chat history, especially if you want graph relationships and time-travel without managing external databases.
- GitHub stars
- 1
- tools
- 5
- transport
- STDIO
- last updated
- Feb 28, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
mutate_memoryWrite operations: create_entity, update_entity, delete_entity, add_observation, create_relation, transactions, sessions, tasks, update_observation, batch_delete, manage_tags, batch.
Write operations: create_entity, update_entity, delete_entity, add_observation, create_relation, transactions, sessions, tasks, update_observation, batch_delete, manage_tags, batch.
No parameter schema in public metadata yet.
query_memoryRead operations: search, advancedSearch, context, graph_rag, graph_walking, agentic_search, adaptive_retrieval, list_entities, get_entity_detail, get_session_context, list_sessions.
Read operations: search, advancedSearch, context, graph_rag, graph_walking, agentic_search, adaptive_retrieval, list_entities, get_entity_detail, get_session_context, list_sessions.
No parameter schema in public metadata yet.
analyze_graphGraph analysis: explore, communities, pagerank, betweenness, hits, shortest_path, semantic_walk.
Graph analysis: explore, communities, pagerank, betweenness, hits, shortest_path, semantic_walk.
No parameter schema in public metadata yet.
manage_systemMaintenance: health, metrics, stats, export, import, cleanup, defrag, reflect, snapshots.
Maintenance: health, metrics, stats, export, import, cleanup, defrag, reflect, snapshots.
No parameter schema in public metadata yet.
edit_user_profileEdit global user profile with preferences and work style.
Edit global user profile with preferences and work style.
No parameter schema in public metadata yet.
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CozoDB Memory MCP Server
Why Cozo Memory?
LLMs have short-term memory limits. Standard RAG retrieves documents but can't connect facts across time. Cozo Memory gives your AI agent persistent, structured memory – it remembers past conversations, infers relationships, detects contradictions, and explores its knowledge graph – fully on your machine, with optional local LLM integration via Ollama for intelligent actions (cleanup, reflection, summarization, agentic routing).Most memory stacks combine separate databases: SQLite for facts, Chroma for vector search, NetworkX for graphs. CozoDB replaces all of that with one embedded engine: relational, graph, vector, and full-text search in a single query language, one file, zero sync lag.
Details
- Repository
- github.com/tobs-code/cozo-memory
- Categories
- AI & LLM Tools, Search & Web Crawling
- Package
cozo-memory- Transport
- STDIO
- Registry
- MCP registry, active
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