datamllab/HarborRL
An end-to-end framework for Agentic Reinforcement Learning.
- 101stars
- 8forks
- 0open issues
- updated 4d ago
HarborRL star history
+19 this week
About HarborRL
HarborRL is a free, open-source AI agent tool by datamllab, written mainly in Python. An end-to-end framework for Agentic Reinforcement Learning. It has 101 GitHub stars and 8 forks, and was last updated 4d ago. It's released under the MIT license, a standard open-source license.
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HarborRL FAQ
Can I use HarborRL commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is HarborRL free?
Yes. HarborRL is open source and free to use. It's released under the MIT license, a standard open-source license.
Does HarborRL run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does HarborRL need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is HarborRL still maintained?
Yes. It was last updated 4d ago and has 0 open issues on GitHub.
How hard is HarborRL to set up?
Hard: typically 1–3 hours, using build from source.
What are alternatives to HarborRL?
Similar free, open-source tools include ECC, hermes-agent, ponytail, ruflo.
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