{"repo":"autolearnai/mcp","free":true,"listed":false,"github":"https://github.com/autolearnai/mcp","clone":"git clone https://github.com/autolearnai/mcp.git","description":"prototype for an mcp server that crystalizes memory","language":"Python","stars":42,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"AutoLearn AutoLearn is a Model Context Protocol (MCP) server that lets AI agents dynamically create and reuse new skills (functional code workflows) from natural language. Unlike static MCP servers, AutoLearn introduces a coding agent that: - Converts reasoning traces into crystalized memory (Python functions). - Decides automatically which workflows to crystalize. - Updates its MCP spec dynamically so consuming agents can use new skills immediately. Learn More: https://www.autolearn.dev/ The project includes a frontend demo app where users can: - Chat with a consuming agent that uses AutoLearn. - See auto-generated Python code for new skills. - View the updated MCP spec in real time. - Execute skills interactively. --- Features - Dynamic Skill Creation : Natural language → Python code workflows via OpenAI integration - Crystalized Memory : Frequently used or complex reasoning preserved as executable code - MCP Server : Full JSON-RPC 2.0 protocol compliance over HTTP transport - Real-Time Updates : WebSocket events for skill added, skill executed, mcp updated - Persistence : SQLite database for skills, sessions, and operational data - Frontend Demo : T3 stack with chat, skill viewer, MCP spec viewer, and execution panel - Comprehensive Testing : 54/54 tests passing with full integration coverage --- Tech Stack - Backend : Python 3.11+, FastAPI, OpenAI API - Frontend : T3 Stack (Next.js, TypeScript, Tailwind CSS, tRPC) with shadcn/ui components - Testing : Pytest (backend), Vi","default_branch":null,"files":null,"tree":[],"storefront":"/r/autolearnai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/autolearnai/mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}