MiniMe
Provides persistent memory management and meta-learning capabilities for software development workflows, featuring sequential thinking, task extraction, pattern detection, and real-time analytics through a React dashboard with local LLM processing via Ollama and PostgreSQL storage.
About
This MCP server provides AI assistants with comprehensive memory management and meta-learning capabilities for software development workflows, built by the MiniMe Team using Node.js with PostgreSQL storage and Ollama integration for local LLM processing. The implementation features a complete digital developer twin system with memory storage and retrieval, sequential thinking workflows, task extraction and management, AI-powered insights generation, and real-time analytics through a React-based dashboard UI served on port 9000 alongside the MCP server on port 8000. Built with Docker containerization, embedding-based similarity search, pattern detection across development sessions, and configurable prompt templates for learning pipeline automation, it serves developers wanting persistent AI memory across coding sessions, teams needing project-based knowledge management with automated insight generation, and organizations requiring comprehensive development analytics with local-first AI processing and no external API dependencies.
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