Productivity
CowAgent
Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, mult…
★ 47.2k starsMIT
View guide →DeepTutor: lifelong personalized tutoring with multi-agent RAG, a CLI and an interactive workspace
DeepTutor is an open-source productivity project by HKUDS (HKUDS/DeepTutor on GitHub). It has 40,946 GitHub stars and 5,172 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Decide what you want from DeepTutor and check the README and requirements to confirm it fits your setup and Python environment.
Clone the repository from GitHub (github.com/HKUDS/DeepTutor) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
AI tutoring that adapts to the learner over time, from the HKUDS team.
Uses multi-agent systems and RAG for deep research-style learning support.
Try it with a single docker run command publishing the app on port 3782.
A DeepTutor CLI designed for agents, plus a content workspace.
Also installable with pip: `pip install -U deeptutor`, then `deeptutor init` and `deeptutor start`.
Connects to an EduHub skills community ecosystem.
Start by getting the source and entering the project directory.
git clone https://github.com/HKUDS/DeepTutor.git
cd DeepTutorThe one-command trial runs the published image with a persistent data volume.
docker run --rm --name deeptutor -p 127.0.0.1:3782:3782 -v deeptutor-data:/app/data ghcr.io/hkuds/deeptutor:latestInstall, initialize with your LLM provider, and start the app.
pip install -U deeptutor
deeptutor init
deeptutor startIt is maintained by HKUDS and contributors on GitHub, where the repository github.com/HKUDS/DeepTutor is the canonical home for code, issues and releases.
Yes — it is open source under the Apache-2.0 license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
Yes — setup prompts for an LLM provider, so you need your own provider key or a local model endpoint.
Compared with ChatGPT alone: DeepTutor structures tutoring with a workspace, persistent learner context and multi-agent research, rather than one-off chat answers.
Clone github.com/HKUDS/DeepTutor, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
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Free and open — grab the source, star the repo, and start creating.