mcp-knowledge-graph

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.

Persistent memory solution for Model Context Protocol enabling AI models to store, search, and recall contextual information across sessions using Elasticsearch for scalable, long-term conversational coherence and personalized interactions.

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.

Provides persistent memory through a local knowledge graph enabling entity management, relationship mapping, observation tracking, and advanced search to enhance contextual understanding in Model Context Protocol applications.

Memory Control Protocol (MCP) server leveraging Neo4j for advanced knowledge graph management, enabling creation, relation, and search of entities via a stdio interface for efficient model context integration.