Graphiti Pro
Provides persistent memory capabilities through Neo4j knowledge graphs with episode-based storage, entity relationship tracking, semantic search, and a web dashboard for managing memory operations across conversations.
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Graphiti MCP Pro server implementation by itcook that provides AI assistants with persistent memory capabilities through a knowledge graph built on Neo4j, featuring episode-based memory storage, entity relationship tracking, and semantic search across nodes and facts with temporal metadata support. The implementation includes a comprehensive web-based management dashboard with real-time logging, token usage analytics, and configuration management, plus asynchronous task processing for memory operations with queue management and worker coordination. Built with FastAPI and React, it supports multiple LLM providers through OpenAI-compatible APIs, includes encrypted credential storage, and provides both HTTP and stdio transports, making it valuable for AI applications requiring long-term memory persistence, relationship discovery, and administrative oversight of memory operations across different conversation contexts and user groups.
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