what is MCP Server: Memory?
MCP Server: Memory is a server that provides persistent memory capabilities for AI models through a knowledge graph, allowing models to retain and recall information across interactions.
how to use MCP Server: Memory?
To use MCP Server: Memory, configure it within an MCP-compatible client like the Claude Desktop application by setting up the mcpServers configuration in the client's settings.
key features of MCP Server: Memory?
- 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
use cases of MCP Server: Memory?
- Enhancing AI interactions by allowing models to remember user preferences.
- Enabling AI to provide context-aware responses based on previous interactions.
- Facilitating knowledge management for AI applications.
FAQ from MCP Server: Memory?
- Can MCP Server: Memory be used with any AI model?
It is primarily designed for use with MCP-compatible clients like Claude.
- How is the knowledge graph stored?
The knowledge graph is stored in a
knowledge_graph.jsonfile in the current working directory.
- Is there a specific environment required to run MCP Server: Memory?
It requires Node.js and can be run using npm.
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"
}
}
}
}
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