Overview
What is optimized-memory-mcp-server?
The optimized-memory-mcp-server is a project designed to test and demonstrate Claude AI's coding abilities, focusing on good AI workflows and prompt design. It implements a persistent memory system using a local knowledge graph, allowing Claude to remember user information across chats.
How to use optimized-memory-mcp-server?
To use the server, set it up with Docker or NPX, and configure it in your claude_desktop_config.json. You can then interact with the server to create entities, relations, and observations in the knowledge graph.
Key features of optimized-memory-mcp-server?
- Persistent memory using a local knowledge graph
- Ability to create and manage entities and their relationships
- API for adding, deleting, and searching entities and observations
- Integration with Claude AI for personalized interactions
Use cases of optimized-memory-mcp-server?
- Storing user preferences and behaviors for personalized AI interactions.
- Managing relationships between different entities in a knowledge graph.
- Enhancing AI's memory capabilities for better user experience.
FAQ from optimized-memory-mcp-server?
- What programming language is used?
The server is implemented in Python.
- Is there a license for this project?
Yes, it is licensed under the MIT License, allowing free use, modification, and distribution.
- How can I build the server?
You can build it using Docker with the provided Dockerfile.