An MCP (Model Context Protocol) server implementation that provides persistent memory capabilities for Large Language Models, specifically designed
An MCP (Model Context Protocol) server implementation that provides persistent memory capabilities for Large Language Models, specifically designed to integrate
This project implements optimal memory techniques based on comprehensive research of current approaches in the field. It provides a standardized way for Claude to maintain persistent memory across conversations and sessions.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| store_memory_example.py | Example of storing a memory |
| retrieve_memory_example.py | Example of retrieving memories |
{
"mcpServers": {
"memory": {
"command": "python",
"args": [
"-m",
"memory_mcp"
],
"env": {
"MEMORY_FILE_PATH": "/path/to/your/memory.json"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MEMORY_FILE_PATH | Declared in the maintainer’s client configuration. | Check documentation |
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