mcp-neo4j-memory-server
The MCP Neo4j Knowledge Graph Memory Server is designed to enhance AI assistants with persistent memory using Neo4j. It offers a sophisticated architecture to manage information efficiently, providing features like semantic search and structured memory to prevent data fragmentation.
MCP Neo4j Knowledge Graph Memory Server v2.0.9
A Model Context Protocol (MCP) server providing persistent memory capabilities with Neo4j as the backend. Key features include:
- Structured Memory Architecture: Provides schemas and patterns for memory management.
- Anti-fragmentation Guidance: Prevents information fragmentation.
- Persistent Memory: Facilitates storage and retrieval of conversations.
- Semantic Search: Allows natural language queries.
- Knowledge Graphs: Establishes relationships among memories.
Usage
The server is integrated automatically with AI assistants after configuration, allowing seamless operation. Core operations include memory management, memory retrieval, semantic search, observation management, relation management, and database management. The unified search strategy employs techniques such as vector similarity and metadata search for enhanced information retrieval.