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DeepTutor

DeepTutor: Lifelong personalized tutoring with multi-agent collaboration and retrieval-augmented generation.

What problem it solves

Learners need tutoring that can adapt across long-term study, use their own learning materials, and connect answers to sources. They also need a flexible environment for reading, practice, research, visualization, and other agent-assisted workflows without separating each activity from their learning history.

Key features

  • Personalized agent collaboration — The tutoring environment supports multiple specialized agents and user-configurable Partners with their own personas, libraries, skills, and private memory.

    Source: README, deeptutor

  • Source-grounded knowledge — Knowledge bases and retrieval engines organize learning materials and support traceable citations, LightRAG, GraphRAG, PageIndex, and linked knowledge bases.

    Source: README

  • Immersive reading and learning paths — Learners can read documents beside conversations, follow cited material page by page, and work through guided learning paths with contextual follow-up assessments.

    Source: README

  • Research, practice, and creation — The learning suite includes deep research, question banks, assessments, notebooks, co-writing, visualizations, and narrated video lessons alongside chat.

    Source: README

  • CLI and desktop access — The project provides an agent-native command-line interface and desktop downloads for macOS and Windows, alongside the web workspace and community skills ecosystem.

    Source: deeptutor_cli, SKILL.md

Who it may suit

Inference: this project may suit learners, educators, and knowledge workers who want source-grounded tutoring, persistent learning workflows, and customizable agent assistance across documents and tools.

Topics to discuss

  • Which learning workflows should receive the strongest support for durable, personalized memory?

  • How can source citations and retrieval evidence be made more transparent across tutoring modes?

  • Which community skills and agent integrations would make the ecosystem more useful for everyday study?


Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/HKUDS/DeepTutor#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/HKUDS/DeepTutor

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