Item detail

HKUDS/DeepTutor

DeepTutor HKUDS/DeepTutor is an Apache-2.0 open-source agent-native personalized learning platform from the HKU Data Science Lab that wraps LLM agents around per-subject tutoring workflows (math, coding, reading comprehension, literature, science, language learning, exam prep, and 12+ other domains) with custom sub-agents for problem decomposition, step-by-step Socratic hints, multi-modal input (t

Score8.6
Popularity24903.0
Risklow
TierGold
Score breakdown
Usefulness9.0
Novelty10.0
Momentum10.0
Maturity9.2
Open-source/build7.4
Evidence7.2
Workflow potential9.7
Setup ease6.5

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for AI educators, self-learners, students, and researchers who want a runnable agent-native personalized tutoring stack that can be self-hosted, because DeepTutor HKUDS/DeepTutor ships from the HKU Data Science Lab with 12+ subject modules, multi-modal input (text/image/code/PDF), per-session progress tracking, Socratic hint generation, and a clean Apache-2.0 license, which means a teacher

Who should use it

BuildersPower users

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Risk label needs manual review.

Evidence links

Closest alternatives / related signals