Graphiti Knowledge Graph vs Neo4j Agent Memory

Transforms conversations and structured data into a persistent Neo4j knowledge graph with temporal metadata, extracting entities and relationships from episodes while supporting dynamic information evolution and custom entity types for requirements, preferences, and procedures.

Stores entities and relationships in a Neo4j graph database with semantic search and temporal filtering, enabling persistent contextual memory for conversational systems through 10 specialized tools for creating memories, building connections, and querying knowledge graphs with configurable depth tr

MCP Servers

Agents

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