Radar / AI agents / DeepTutor

DeepTutor: open-source, agent-native personalized tutor trending again

HKUDS/DeepTutor, the University of Hong Kong's open-source personalized learning assistant, is trending on GitHub again, up about 1,600 stars in a day to roughly 47,200. It builds a persistent learner profile across sessions, grounds teaching in uploaded documents through RAG with source-linked answers, and ships as a web app via PyPI or Docker with guided learning paths, quizzes targeting weak areas, and multi-user server support; v1.6.15 landed 19 Oct with bounded tutoring memory and native Gemini speech.

trendingagents · assistantsJEV traction 0.72HKUDS/DeepTutor · 47,211 ★added 2026-10-28

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Why it matters

A tutor with structural memory instead of chat history: it tracks what a learner knows, struggles with, and is headed toward, and teaches from the learner's own documents rather than generic answers.

What you could build with it

A coaching institute preparing students for board exams could self-host DeepTutor, load its own textbooks and question banks, and give each student guided practice that targets their measured weak areas instead of one-size-fits-all worksheets.

Does it hold up?

Mature and deployable: 47k stars, monthly releases through v1.6.15, and documented PyPI/Docker installs with multi-user support, though setup needs Python plus Node and a configured LLM provider.

Built with DeepTutor

DeepTutor: Open-Source, Multi-agent AI Learning Assistantarticle · Install guide: PyPI, Docker, and source installs, the localhost:3782 web UI, CLI mode, and LightRAG/GraphRAG extras.
Open-Source AI Learning Assistant | DeepTutor for Privacy-Conscious Learnersarticle · Self-hosting pitch: Apache 2.0, persistent memory, autonomous TutorBots, and a unified workspace for chat, research, and quizzes.
HKUDS/DeepTutor v1.6.15article · Release notes for 19 Oct: revised learning paths, independently graded question groups, bounded tutoring memory, and native Gemini speech.

Learn more

technical deep dive →

First spotted on github: source.

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