Developed by Tsinghua University researchers and validated across more than 700 students, OpenMAIC converts raw prompts, PDFs, Office documents, audio, and video into complete, multi-agent virtual learning environments. The platform leverages Next.js, LangGraph state machines, and a pluggable `@openmaic/storage` layer to orchestrate autonomous AI professors and student avatars that lecture, debate at roundtables, answer inquiries, and illustrate complex equations on a real-time SVG whiteboard. Its Pro Agent Workbench features durable PostgreSQL-backed sessions, twenty specialized curriculum-building skills, and granular JSON Patch slide editing with full `.pptx` import fidelity. OpenMAIC supports rich scene modalities including automated quiz grading, Project-Based Learning milestones, and Deep Interactive Mode offering in-browser code execution, interactive mind maps, and Three.js 3D physics simulations. Built-in audio pipelines connect with VoxCPM2 for zero-shot voice cloning, Azure STT, and FunASR for speech recognition, alongside a dedicated Chromium-FFmpeg rendering microservice for one-click MP4 video exports. Flexible model routing interfaces seamlessly with OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, DeepSeek, and local Ollama or Lemonade instances, while OpenClaw integration enables direct classroom generation from Slack, Discord, Feishu, and Telegram. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Tell LearnBuddy what you want to learn, in one conversation, and it works out where to start, what to do each day, and when yesterday's material needs another look. You describe the goal, whether that is a language, programming, nutrition, writing, or a career change, and three to five adaptive questions measure your actual baseline instead of making you pick a level from a dropdown. From there it builds a personalized path of four to twenty-four weeks and tells you daily what to study and what to review, so opening the app answers the question instead of raising it. Forgetting is treated as a scheduling problem: reviews resurface at spaced intervals, weekly self-checks test whether the plan still fits, and the roadmap replans dynamically when you race ahead or fall behind. Two editions run from the same codebase: try the hosted Cloud experience, or settle into Personal mode with your own model API key and your learning data stored on your own server. Optional OpenClaw and Feishu integration can bring the daily guidance into the chat tools you already live in. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.