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Graphiti

Integrates AI agents with a knowledge graph database to provide persistent memory and contextual continuity for prompts.

소개

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.

주요 기능

  • 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
  • 0 GitHub stars

사용 사례

  • 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