Knowledge Graph Memory Server

What is Knowledge Graph Memory Server? The Knowledge Graph Memory Server is an enhanced implementation of a persistent memory system using a local knowledge graph, allowing Claude to remember user information across chats and learn from past errors through a lesson system. How to use Knowledge Graph Memory Server? To use the server, clone the repository, install dependencies, build the project, and configure it with the Cursor MCP client or Claude Desktop. Follow the setup instructions provided in the documentation. Key features of Knowledge Graph Memory Server? Persistent memory using a local knowledge graph Ability to create and manage entities, relations, and observations Lesson management for capturing knowledge about errors and solutions API tools for creating, reading, updating, and deleting graph elements Use cases of Knowledge Graph Memory Server? Storing user preferences and behaviors for personalized interactions Managing error patterns and solutions for software development Enhancing chatbots with memory capabilities for improved user experience FAQ from Knowledge Graph Memory Server? Can the server handle multiple users? Yes! The server is designed to manage information for multiple users through unique entities. Is there a limit to the number of entities or observations? No, but performance may vary based on the size of the graph and the complexity of the data. How can I contribute to the project? Contributions are welcome! Please refer to the repository for guidelines on how to contribute.

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, clone the repository, install dependencies, build the project, and configure it with the Cursor MCP client or Claude Desktop. Follow the setup instructions provided in the documentation. Key features of Knowledge Graph Memory Server? Persistent memory using a local knowledge graph Ability to create and manage entities, relations, and observations Lesson management for capturing knowledge about errors and solutions API tools for creating, reading, updating, and deleting graph elements Use cases of Knowledge Graph Memory Server? Storing user preferences and behaviors for personalized interactions Managing error patterns and solutions for software development Enhancing chatbots with memory capabilities for improved user experience FAQ from Knowledge Graph Memory Server? Can the server handle multiple users? Yes! The server is designed to manage information for multiple users through unique entities. Is there a limit to the number of entities or observations? No, but performance may vary based on the size of the graph and the complexity of the data. How can I contribute to the project? Contributions are welcome! Please refer to the repository for guidelines on how to contribute.

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