
MCP-Server-Memory
Ce projet est dérivé du package d'origine @ ModelContextProtocol / Server-Memory, modifié pour mes besoins spécifiques. Fournir des capacités de mémoire persistantes pour les modèles d'IA via un graphique de connaissances. Cela permet aux modèles comme Claude de conserver et de rappeler des informations sur les interactions.
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MCP Server: Memory
This project is derived from the original @modelcontextprotocol/server-memory
package, modified for my specific needs.
An MCP (Model Context Protocol) server providing persistent memory capabilities for AI models through a knowledge graph. This allows models like Claude to retain and recall information across interactions.
Overview
This server implements the Model Context Protocol and acts as a bridge between an AI model and a persistent knowledge graph stored locally. It allows the model to:
- Create and manage entities (people, places, concepts, etc.).
- Define relationships between entities.
- Store observations or facts associated with entities.
- Search and retrieve information from the knowledge graph.
By default, the knowledge graph is stored in a knowledge_graph.json
file in the current working directory where the server is run.
Usage with Claude Desktop
This server is primarily designed to be used with MCP-compatible clients like the Claude Desktop application. You configure it within the client's settings.
Example mcpServers
Configuration:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "mcp-server-memory"],
"env": {
"MEMORY_FILE_PATH": "/path/to/your/custom_memory.json"
}
}
}
}
...[rest of existing content remains unchanged...]
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Reviews

user_v0nqBO5U
I've been using mcp-server-memory by kwanLeeFrmVi and it has been an absolute game-changer for managing server memory effectively. The seamless integration and ease of use make it a must-have for any development project. Highly recommend checking it out on GitHub!