Graphiti
Integrates AI agents with a knowledge graph database to provide persistent memory and contextual continuity for prompts.
About
This tool demonstrates the integration of AI agents, such as Cursor and Claude, with a Graphiti MCP server and Neo4j. It enables AI agents to establish persistent memory and maintain context continuity by storing AI prompts and interactions as real-time knowledge graphs in Neo4j. This setup empowers agents with capabilities like dynamic tool discovery, optimal tool selection for queries, and the ability to formulate context-aware responses, thereby enhancing their intelligence and utility.
Key Features
- Generates real-time knowledge graphs from AI agent prompts
- Provides persistent memory for AI agents
- Ensures context continuity across various AI agent interactions
- Facilitates dynamic tool discovery and optimal tool selection for AI agents
- Supports Dockerized deployment for easy setup and execution
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Use Cases
- Enhancing AI agent context continuity across multiple interactions
- Building persistent memory systems for AI conversational agents
- Creating knowledge graphs from AI agent communication for analytical purposes
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