Memory Plugin (SQLite)
Provides SQLite-based persistent memory storage for maintaining context across conversations, enabling long-term recall and knowledge management.
About
This Memory Plugin is a Python-based SQLite implementation for persistent storage in AI conversations. It provides tools for storing, retrieving, and searching memories, allowing AI assistants to maintain context across sessions. The plugin uses a simple database structure to categorize and timestamp memories, with features like access counting and category-based filtering. It's designed to integrate seamlessly with the Model Context Protocol (MCP) ecosystem, making it ideal for enhancing AI assistants with long-term memory capabilities in applications ranging from personal assistants to complex knowledge management systems.
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