GitHub Copilot Memory Tool, designed for the new features of VS Code 2025. It allows Copilot to remember user preferences and work context through persistent memory, enhancing the personalized experience of the AI programming assistant.

A personal data aggregation center based on the MCP protocol, allowing AI assistants to access personal data from multiple platforms and providing a personalized interaction experience.

ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.

The Q-CLI MCP Memory Server is a context memory system designed for developer tools. It can intelligently store information such as user preferences, code habits, and architectural decisions, achieving a cross-session personalized experience.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.