a year ago
research-and-dataAn MCP server implementation providing persistent memory capabilities for Claude, based on research into optimal LLM memory techniques
Overview
What is Claude Memory MCP?
Claude Memory MCP is an MCP (Model Context Protocol) server implementation that provides persistent memory capabilities for Large Language Models, specifically designed to integrate with the Claude desktop application.
How to use Claude Memory MCP?
To use Claude Memory MCP, clone the repository, install the dependencies, and run the server using the command python -m memory_mcp. Integrate it with the Claude desktop application by modifying the configuration file to include the MCP server settings.
Key features of Claude Memory MCP?
- Tiered Memory Architecture: Short-term, long-term, and archival memory tiers.
- Multiple Memory Types: Support for conversations, knowledge, entities, and reflections.
- Semantic Search: Retrieve memories based on semantic similarity.
- Memory Consolidation: Automatic consolidation of short-term memories into long-term memory.
- Memory Management: Importance-based memory retention and forgetting.
- Claude Integration: Ready-to-use integration with Claude desktop application.
- MCP Protocol Support: Compatible with the Model Context Protocol.
Use cases of Claude Memory MCP?
- Maintaining context across user interactions in the Claude application.
- Enhancing user experience by providing relevant information based on past conversations.
- Supporting complex memory management for AI applications.
FAQ from Claude Memory MCP?
- Can Claude Memory MCP be used with other applications?
Currently, it is designed for integration with the Claude desktop application.
- Is Claude Memory MCP free to use?
Yes! Claude Memory MCP is open-source and free to use under the MIT License.
- How does the memory consolidation work?
The system automatically consolidates short-term memories into long-term memory based on usage patterns.