GitHub Trending · AI Apps & Models · Updated
HKUDS/DeepTutor
An AI personal tutor from HKU: a lifelong, personalized learning workspace
- Stars at last chart appearance
- ★ 38.3k
- Language
- Python
- Chart appearances
- 0
- On-chart tracking
- 0 days tracked
What it does
An 'agent-native' learning platform from HKU's HKUDS lab: chat tutoring, quizzes, deep research, visualization, problem solving and Mastery-Path practice all run on one agent loop. It supports multi-engine RAG knowledge bases (LlamaIndex, PageIndex, GraphRAG, LightRAG — even your Obsidian vault), lets you call Claude Code / Codex sub-agents from any conversation, and ships three-layer inspectable memory (L1 trace / L2 summary / L3 synthesis) with a Memory Graph for provenance.
What's inside
A full web app (Python backend + Next.js 16 frontend) with READMEs in 11 languages, Docker deployment, CLI/agent-native interfaces and the EduHub community skills ecosystem; releases ship very frequently.
Tech stack
Python 3.11+ + Next.js 16, multi-engine RAG + MCP tools + FAISS; Apache-2.0; created late December 2025 with an arXiv paper behind it.
Use cases
- Students & self-learners — feed in textbooks and papers, get a 24/7 personal tutor
- Exam candidates — prepare systematically with quizzes and the mastery path
- PKM enthusiasts — plug your Obsidian vault straight in for RAG Q&A
Why it's trending
It combines AI education with an agent-native workflow and carries the credibility of a university research lab, making the concept easy to evaluate and share.
Current chart placements
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Editorial summaries are based on the public repository and the dated GitHub Trending snapshot. Verify implementation details in the upstream repository.