Establishes a self-hosted Model Context Protocol server, providing AI coding assistants with a persistent knowledge base for architectural decisions, specifications, and learned lessons.
Sponsored
AI coding assistants often lack persistent memory, losing valuable context like architectural decisions, specifications, and lessons learned between sessions. mxLore solves this by providing a self-hosted Model Context Protocol (MCP) server that acts as a robust, institutional memory for your AI assistant. It allows your AI to search, recall, and learn from a constantly evolving knowledge base, ensuring continuity and improvement across projects, all while keeping your sensitive development data securely hosted on your own infrastructure.
主要功能
01AI Skill Evolution that tracks and auto-tunes checker rules
02Web-based Admin UI for developers, keys, projects, and intelligence metrics
030 GitHub stars
04Multi-project support for cross-project search and knowledge sharing
05Institutional memory for lessons learned with graph-based knowledge links
06Persistent knowledge base with 39 MCP Tools for recall and creation
使用案例
01Enabling AI assistants to recall past lessons and project knowledge across development sessions
02Facilitating multi-project knowledge management and continuity for development teams
03Storing architectural decisions and design specifications for AI assistant access