AI tutoring tools have been everywhere lately. Most of them are just ChatGPT wrappers with a different skin — ask a question, get an answer, move on. Nothing sticks. Nothing adapts. Nothing remembers.
DeepTutor, built by the HKUDS team at Hong Kong University, takes a fundamentally different approach. It's an agent-native, open-source learning platform that builds a persistent profile of how you learn, what you've studied, and where you're heading — then uses that context across every interaction.
It hit 10,000 GitHub stars in 39 days. The v1.0.0 release just dropped with a ground-up architecture rewrite (~200k lines). This isn't a weekend side project. It's infrastructure.