HKUDS/DeepTutor

Features

• Agentic Workflow Frameworks - Functions as an agentic workflow framework executing reasoning loops with specialized tools and persistent memory.
• Interactive Learning Books - Compiles raw sources into structured interactive books containing quizzes, flashcards, animations, and concept graphs.
• Agent Skill Extensions - Implements a framework for installing and auditing modular third-party skill packages to expand agent capabilities.
• Agentic Reasoning Loops - Implements orchestration patterns for iterative execution where models call tools and refine answers to complete multi-step tasks.
• Agentic Workflow Automation - Uses intelligent agents to coordinate tasks and automate complex workflows by analyzing project context.
• Educational Tutors - Deploys persistent AI companions with unique personas and shared memory to provide tailored educational support.
• Content Generators - Transforms raw sources into structured learning books with interactive quizzes and concept graphs.
• Knowledge Management Systems - Provides a knowledge management system that organizes document collections into versioned indices for RAG.
• Persistent AI Companions - Creates specialized digital partners with unique personas and tool policies that connect to external messaging platforms.
• RAG Knowledge Management - Organizes and versions document collections to support retrieval augmented generation and prevent information loss.
• Educational Content Frameworks - Creates structured learning materials like quizzes and concept graphs from raw sources to improve student engagement.
• Agent Persona Frameworks - Assigns specialized roles and behavioral profiles to autonomous agents to define their operational constraints.
• Document Grounding - Integrates retrieved evidence with specific text selections in a markdown editor for targeted content expansion.
• User Personalization Traces - Implements a system for tracking user activity through multi-level traces to make personalization visible and editable.
• Multi-Level Memory Management - Records user interactions in a hierarchical structure to manage user, session, and agent state for personalization.
• Memory and Context - Shares knowledge bases and memory across different tools and workflows to prevent information silos.
• Selection-Aware Drafting - Provides a markdown editor capable of rewriting or expanding specific text selections grounded in retrieved evidence.
• Evidence-Grounded Editors - Provides a markdown editor that uses retrieved evidence to rewrite or expand specific text selections based on user context.
• Versioned Indices - Organizes document collections into distinct versioned snapshots to ensure stable retrieval augmented generation.
• Integrated Learning Workspaces - Integrates tutoring and research into a unified workspace where context persists across different learning modes.
• Plugin Architectures - Provides an architecture that allows extending core functionality through modular, dynamically loaded skill packages.
• Shared Knowledge Graph Memory - Synchronizes memory and state across different tools via a shared knowledge base to maintain consistent user context.
• End-User Applications - AI-powered personalized learning assistant with document Q&A, exercise generation, and deep research capabilities.

Star history