Memory Custom

what is Memory Custom? Memory Custom is a project that enhances the Memory server by allowing users to create and manage a knowledge graph that captures interactions via a language model (LLM). how to use Memory Custom? To use Memory Custom, clone the repository, install the dependencies, configure the memory file path, and run the server locally to start managing your knowledge graph. key features of Memory Custom? Custom memory paths for project-specific storage. Timestamping for tracking memory creation and modifications. API endpoints for various memory management tasks. use cases of Memory Custom? Organizing memory data for different projects. Tracking interactions and changes over time. Enhancing user engagement through personalized memory updates. FAQ from Memory Custom? What is the purpose of custom memory paths? Custom memory paths allow for better organization of memory data specific to each project. How do I run the server? You can run the server by building the project and executing the command node dist/index.js. Is there an API available? Yes, the server exposes several API endpoints for memory management tasks.

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

To use Memory Custom, clone the repository, install the dependencies, configure the memory file path, and run the server locally to start managing your knowledge graph. key features of Memory Custom? Custom memory paths for project-specific storage. Timestamping for tracking memory creation and modifications. API endpoints for various memory management tasks. use cases of Memory Custom? Organizing memory data for different projects. Tracking interactions and changes over time. Enhancing user engagement through personalized memory updates. FAQ from Memory Custom? What is the purpose of custom memory paths? Custom memory paths allow for better organization of memory data specific to each project. How do I run the server? You can run the server by building the project and executing the command node dist/index.js. Is there an API available? Yes, the server exposes several API endpoints for memory management tasks.

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