Neo4j Knowledge Graph Memory
Stores and retrieves AI assistant interaction data using a Neo4j graph database.
About
Neo4j Knowledge Graph Memory Server enhances the standard Knowledge Graph Memory Server by utilizing Neo4j as its backend storage engine. This provides superior graph query capabilities, improved performance, and scalability, making it ideal for building sophisticated knowledge graph applications for AI assistants. It allows for robust storage and efficient retrieval of information gathered from user interactions, enhancing the AI's ability to remember and utilize context.
Key Features
- Powerful fuzzy search and exact matching capabilities
- Fully compatible with the MCP protocol
- 1 GitHub stars
- High-performance graph database storage based on Neo4j
- Complete CRUD operations for entities, relationships, and observations
- Supports complex graph queries and traversals
Use Cases
- Building complex knowledge graph applications
- Enhancing AI assistant memory and context retention
- Storing and retrieving user interaction data for personalized experiences
Sponsored