Knowledge Graph Memory Server

Provides persistent memory via a local knowledge graph for Model Context Protocol, enabling entity management, relationship mapping, observation tracking, and error lesson learning to enhance user context retention and adaptive interactions across chats.

Provides persistent memory for AI models using a local knowledge graph with entities, relations, and observations, enabling context retention and advanced querying through a Model Context Protocol-compliant API.

Provides persistent memory using a local knowledge graph with versioned entities, relations, and observations to enable context retention and dynamic information management across chats via the Model Context Protocol.

A high-performance Model Context Protocol server leveraging Neo4j graph database for advanced knowledge graph memory storage, retrieval, fuzzy search, full CRUD operations, and complex graph queries, fully compatible with MCP and deployable via Docker.

Enhances MCP memory management by integrating PouchDB for efficient, versioned knowledge graph storage with customizable memory paths and timestamped interactions to optimize context tracking and data consistency.