huggingface/ml-intern
- Source
- GitHub
- First trending
- Category
- Agents
- GitHub stars
- 10,823
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
An archived Hugging Face project that is no longer maintained. It was an agent that researched, wrote and shipped ML code using the Hugging Face ecosystem, with access to documentation, papers, datasets and cloud compute.
How it helps ATF
The project is retired, so it serves only as a historical reference. Its agent design, which combined paper and dataset access with writing code, could be worth comparing with LabChin and Harness.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
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A GEP-based engine that lets AI agents evolve themselves, recording that evolution as Genes, Capsules and Events so it can be audited. The readme says future releases will move from open source to source-available. - browser-use/browser-harness
Connects an LLM agent to a real browser through a single editable CDP websocket. When a helper is missing, the agent writes it into its local workspace, so reusable helpers build up over tasks while the core code stays protected. - lsdefine/GenericAgent
GenericAgent is a minimal agent framework that gives an LLM control of a local computer, such as browser, terminal, files, keyboard, mouse and screen. It saves the path of each newly solved task as a reusable skill. - datawhalechina/hello-agents
Hello-Agents is a free tutorial from the Datawhale community on building AI agents from scratch. It covers agent concepts, paradigms such as ReAct, Plan-and-Solve and Reflection, context engineering, memory, evaluation and Agentic RL training.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.