Grigori is a desktop application that helps developers manage and organize programming specifications, architectural patterns, and development preferences through the MCP protocol, enabling AI programming assistants to access personalized coding contexts.

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.

Cursor chat history analysis tool that allows AI assistants to read local chat data through the MCP protocol, providing personalized programming assistance and pattern analysis

A production-level MCP server that provides AI assistants with access to the Finnish Alko alcohol product catalog, including product search, inventory query, store information, and personalized recommendations.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.

AutoMem MCP is an MCP client tool that provides persistent memory for AI assistants. By connecting to the AutoMem graph - vector memory service, MCP - compatible AI platforms such as Claude, Cursor, and GitHub Copilot can remember users' decisions, coding styles, and preferences across sessions and devices, achieving perfect memory and personalized interaction.

What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

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.