Memory by File

Lightweight, file-based memory storage for maintaining persistent context across conversations using simple text operations.

This MCP server for memory management, developed by an unnamed creator, provides a simple interface for AI assistants to store and retrieve contextual information in a text file. It integrates with the Model Context Protocol to offer operations for adding, searching, deleting, and listing memories. The server handles file I/O operations and implements basic text-based storage, allowing AI systems to maintain persistent context across conversations without complex database setups. By focusing on simplicity and ease of use, this implementation enables quick deployment for scenarios requiring lightweight, file-based memory storage. It is particularly useful for chatbots, personal assistants, or any application where an AI needs to recall information from previous interactions.