THU-MAIC/OpenMAIC

Features

• Interactive 3D Simulators - Builds responsive, in-browser 3D simulations that allow for hands-on exploration of complex educational processes.
• Multi-Agent Education Platforms - Provides a learning environment where multiple AI agents collaborate to provide immersive, interactive classroom simulations.
• Multi-Agent Collaboration Systems - Creates immersive educational environments where multiple AI agents collaborate to teach and guide students.
• Multi-Agent Session Facilitators - Coordinates and manages interactive group dialogues between multiple AI characters within a simulated classroom session.
• LLM Provider Adapters - Implements a modular adapter layer to flexibly source intelligence from various LLM providers and search tools.
• LLM Provider Integrations - Provides configurable adapters and authentication for connecting the platform to various external large language model providers.
• Multi-Agent Orchestration Frameworks - Implements a state-machine based manager that coordinates conversational turns and interactions between multiple AI agents.
• Speech-to-Text Conversions - Transforms live microphone input into machine-processable text to enable communication with the AI agents.
• Text-to-Speech Synthesis - Synthesizes natural-sounding spoken audio from text using automated voice providers and voice cloning.
• Educational Content Generation - Transforms documents and topics into structured course outlines, interactive slides, and quizzes using LLMs.
• Lesson Plan Generators - Transforms documents and topics into educational experiences containing slides, quizzes, and project activities.
• Virtual Classroom Software - Manages AI agent interactions, speech-to-text conversion, and 3D visualizations to build a responsive digital learning space.
• Autonomous AI Agent Simulations - Creates learning environments where multiple AI agents collaborate to provide an immersive educational experience.
• Educational Classroom Simulations - Provides immersive learning environments using AI agent simulations and 3D visualizations for hands-on education.
• Educational 3D Environments - Provides an in-browser visualization tool for rendering interactive 3D scenes and real-time whiteboard concepts.
• 3D Simulation Rendering - Renders interactive browser-based 3D environments to visualize educational concepts and AI agent activities.
• Conversational Voice Pipelines - Facilitates verbal interaction with AI agents by processing spoken audio through integrated speech-to-text and text-to-speech services.
• Conversation State Machines - Uses a deterministic state machine to coordinate conversational turns and dialogue flow between multiple AI agents.
• Content Generators - Transforms raw information into structured course outlines and slides via an AI-driven generation process.
• Generative Content Pipelines - Employs a generative pipeline that builds high-level outlines before populating detailed educational content and slides.
• Educational Voice Interfaces - Integrates text-to-speech and voice cloning to provide narrated, spoken educational experiences within a virtual environment.
• Speech-to-Speech Frameworks - Combines speech-to-text and text-to-speech for voice-based interaction with large language models.
• Voice Cloning - Supports replicating specific human vocal characteristics to provide personalized narration for educational content.
• Educational Scene Generators - Produces immersive educational scenes by generating structured outlines and corresponding detailed instructional content.
• Concept Visualization Techniques - Renders real-time diagrams, formulas, and flowcharts on a digital whiteboard to visually illustrate complex ideas.
• Virtual Instructional Actions - Performs instructional tasks such as drawing on whiteboards, creating charts, and using visual spotlights to guide students.
• Virtual Instructional Tooling - Uses AI to control digital whiteboards, generate real-time diagrams, and create visual spotlights for remote teaching.

Star history