DeepTutor

Read the source on GitHub Project homepage

What it does

An editorial selection.

Lifelong personalized AI tutoring system from HKUDS (University of Hong Kong).

Why it is listed

An open, research-grade AI tutor for self-learners and educators.

GitHub describes it as: DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars: 45,784
Forks: 5,745
Open issues: 113
Merged PRs: 811
Commits, last 30 days: 543
Stars, 7 days: unavailable
Stars, 30 days: unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language: Python
Licence: Apache-2.0
Created: 28 Dec 2025
Last push: 27 Oct 2026
Latest release: v1.6.15 · 18 Oct 2026
Category: Learning Resources
Topics: ai-tutor deepresearch interactive-learning multi-agent-systems rag ai-agents cli-tool clawbot learning
Observed: 2026-10-27 23:15:40 UTC

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by HKUDS.

Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
Browse releases and changelogsPublished versions and the changes made between releases.
Check licence and usage termsApache-2.0 is the licence reported by GitHub; read the repository terms before use.
Read pull requestsProposed changes and development discussions.
Browse reported issuesKnown problems, feature requests and maintainer responses.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch: 2,935
Open pull requests: 104
Closed issues, lifetime: 646
Median time to close an issue: 5.9 days
Median time to merge a pull request: 2.3 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Learning Resources, ordered by shared topics and then name. These are discovery links, not equivalence claims.