Knowledge Graph
Enables persistent memory and structured knowledge management for enhanced personalization and context retention in natural langua
This knowledge graph MCP server, developed by Anthropic, enables persistent memory for AI assistants through a local graph database. It provides tools for creating, querying, and manipulating entities and relationships, allowing assistants to build and maintain structured knowledge about users and contexts across conversations. The implementation uses TypeScript and file-based storage, with a customizable memory path for flexibility. It's designed for enhancing AI personalization and context retention in applications like chatbots, virtual assistants, or any scenario requiring long-term information persistence and retrieval in natural language interactions.
Source
Repository: https://github.com/shaneholloman/mcp-knowledge-graph
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