optimized-memory-mcp-server

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?

1. Storing user preferences and behaviors for personalized AI interactions.
2. Managing relationships between different entities in a knowledge graph.
3. 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.