Knowledge Graph Memory Server

What is Knowledge Graph Memory Server? The Knowledge Graph Memory Server is a basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember information about users across chats. How to use Knowledge Graph Memory Server? To use the server, set it up with Docker or NPX, configure it in your Claude Desktop settings, and utilize the provided API to create entities, relations, and observations. Key features of Knowledge Graph Memory Server? Create and manage entities and their relationships in a knowledge graph. Add, delete, and search observations related to entities. Retrieve the entire knowledge graph structure. Use cases of Knowledge Graph Memory Server? Personalizing user interactions by remembering user preferences. Managing complex relationships between different entities. Enhancing AI conversations with contextual memory. FAQ from Knowledge Graph Memory Server? Can the server handle multiple users? Yes! The server can manage multiple entities and their relationships simultaneously. Is there a limit to the number of observations? No, you can add as many observations as needed for each entity. How is data stored? Data is stored in a JSON format, allowing for easy retrieval and management.

As an MCP (Model Context Protocol) server, Knowledge Graph Memory Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, set it up with Docker or NPX, configure it in your Claude Desktop settings, and utilize the provided API to create entities, relations, and observations. Key features of Knowledge Graph Memory Server? Create and manage entities and their relationships in a knowledge graph. Add, delete, and search observations related to entities. Retrieve the entire knowledge graph structure. Use cases of Knowledge Graph Memory Server? Personalizing user interactions by remembering user preferences. Managing complex relationships between different entities. Enhancing AI conversations with contextual memory. FAQ from Knowledge Graph Memory Server? Can the server handle multiple users? Yes! The server can manage multiple entities and their relationships simultaneously. Is there a limit to the number of observations? No, you can add as many observations as needed for each entity. How is data stored? Data is stored in a JSON format, allowing for easy retrieval and management.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.