"Graphite" matching MCP servers:

Enables storing and querying memories in a Neo4j knowledge graph with automatic entity extraction. Supports adding episodes, searching entities and relationships, and managing graph data through natural language.

Build Real-Time Knowledge Graphs for AI Agents

A framework for building and querying temporally-aware knowledge graphs that allows AI assistants to interact with graph capabilities through the Model Context Protocol.

Provides persistent memory and context continuity for AI agents using Zep's Graphiti and Neo4j graph database. Enables storing, retrieving, and linking memories to build a knowledge graph accessible across Cursor and Claude.

Enables AI assistants to build and query temporally-aware knowledge graphs from conversations and data, maintaining persistent memory of entities, relationships, and facts across interactions.

Gives AI agents persistent memory with bi-temporal tracking, automatically extracting entities from natural language and enabling time-travel queries to understand facts as they existed at any point in history.