MCP Memory with Redis Graph

What is MCP Memory? MCP Memory is a server that implements a memory system for long-term storage of conversations with large language models (LLMs) using Redis Graph as the backend. How to use MCP Memory? To use MCP Memory, set up the environment by installing Docker and Node.js, then run the Redis container and the application using Docker Compose and npm commands. Key features of MCP Memory? Store various types of memories (conversations, projects, tasks, etc.) Create relationships between memories to form a knowledge graph Search and retrieve memories based on different criteria Update and delete memories as needed Use cases of MCP Memory? Storing and retrieving project details and configurations. Managing tasks and to-do items for better organization. Recording and handling issues or bugs in software development. Providing personal finance advice and tracking financial information. FAQ from MCP Memory? What types of memories can be stored? MCP Memory supports various types including conversations, projects, tasks, issues, configurations, finance, and todos. How do I connect to Redis? The application connects to Redis using the default configuration in src/index.ts, which can be modified as needed. Is there a way to visualize the memory graph? Yes, you can use the provided Redis CLI helper to inspect the graph and view relationships between memories.

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

To use MCP Memory, set up the environment by installing Docker and Node.js, then run the Redis container and the application using Docker Compose and npm commands. Key features of MCP Memory? Store various types of memories (conversations, projects, tasks, etc.) Create relationships between memories to form a knowledge graph Search and retrieve memories based on different criteria Update and delete memories as needed Use cases of MCP Memory? Storing and retrieving project details and configurations. Managing tasks and to-do items for better organization. Recording and handling issues or bugs in software development. Providing personal finance advice and tracking financial information. FAQ from MCP Memory? What types of memories can be stored? MCP Memory supports various types including conversations, projects, tasks, issues, configurations, finance, and todos. How do I connect to Redis? The application connects to Redis using the default configuration in src/index.ts, which can be modified as needed. Is there a way to visualize the memory graph? Yes, you can use the provided Redis CLI helper to inspect the graph and view relationships between memories.

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