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.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

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.

Popmelt MCP is a framework that enables in - depth personalized AI interactions through multi - dimensional user preferences, including core components such as style vectors, context weighting, and a dynamic design system.