DeepTutor

On July 8th, the Hong Kong Big Data Intelligence Laboratory (HKUDS) recently released the Open Source AI Smart Body Mentor DeepTutur v. 1.5, which completed several upgrades on document decomposition engines, RAG intake pipe lines and Python 3.14+ compatibility. DeepTutor's core design is to integrate the six components of chat, testing, research, visualization, problem resolution and learning path planning into the same smart body closed loop, so students do not need to interrupt backstage engines when they switch between assignments, and learning context and multilevel memories automatically coincide..