Memory

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Memory is a Model Context Protocol (MCP) server designed to persistently log and retrieve conversational memories from various Large Language Models (LLMs). It offers a robust solution for enhancing LLM capabilities by allowing them to store, retrieve, append, and clear user-specific conversation data. Utilizing MongoDB for storage, it ensures data persistence and provides a structured way to manage LLM interactions, enabling richer and more context-aware conversations.

Características Principales

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• Retrieve all stored memories
• Append new memories without overwriting
• Clear all stored memories
• Persistent storage using MongoDB
• Save and overwrite LLM memories

Casos de Uso

• Storing ongoing conversation context for an LLM to refer back to
• Allowing LLMs to retrieve historical interactions for personalized responses
• Enabling LLMs to add new data points to existing memory sets