A Model Context Protocol server that enables running Cypher queries and retrieving schema from Neo4j databases, supporting AI-driven graph exploration and text-to-Cypher workflows.
A knowledge graph MCP server that integrates Graphiti and the ACE framework for conversational management of Neo4j-based entities and relationships. It enables AI agents to perform semantic searches, manage data isolation, and utilize automatic learning strategies.
An on-prem knowledge graph for AI agents that uses typed entities and relationships, enabling persistent memory and cross-agent handoff via the Model Context Protocol.
A temporally-aware knowledge graph MCP server for AI agents, enabling episodic ingestion, entity management, and semantic search with support for multiple LLM and embedding providers.
A persistent, event-sourced knowledge graph MCP server for AI coding agents that enables semantic search, tiered context retrieval, and git-based version control of AI memory.
Enhanced knowledge graph memory server for AI assistants that uses Neo4j as the backend storage engine, enabling powerful graph queries and efficient storage of user interaction information with full MCP protocol compatibility.