A MCP (Model Context Protocol) server providing long-term memory for LLMs
Overview
What is Memory MCP Server?
Memory MCP Server is a server that implements the Model Context Protocol (MCP) to provide long-term memory for Large Language Models (LLMs), enabling them to retain information over extended interactions.
How to use Memory MCP Server?
To use the Memory MCP Server, clone the repository, install the dependencies, and run the server. You can then interact with it using API endpoints to store and retrieve memory.
Key features of Memory MCP Server?
- Long-term memory storage and retrieval for LLMs.
- Adherence to the Model Context Protocol for seamless integration.
- User-friendly API for easy integration into applications.
- Scalability to handle multiple requests.
Use cases of Memory MCP Server?
- Enhancing conversational AI by retaining user context.
- Improving personalized recommendations in AI applications.
- Supporting complex interactions in AI-driven customer service.
FAQ from Memory MCP Server?
- Can I use Memory MCP Server with any LLM?
Yes! It is designed to work with various LLM architectures that adhere to the MCP standards.
- Is there a cost to use Memory MCP Server?
No, it is open-source and free to use.
- How do I contribute to the project?
You can contribute by forking the repository, making changes, and submitting a pull request.