huggingface / Repo2RLEnv
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
Why this job: topics: reinforcement-learning, datasets
What it does
Coding agents get better by doing: attempting a real task, and being told by a program, not a person, whether they succeeded. Reinforcement learning needs thousands of those tasks, each with a working environment, an instruction that doesn't give the answer away, and a verifier you can trust. Building them by hand takes hours apiece.
Get started
pip install repo2rlenv
# native pipelines and the CLI
pip install 'repo2rlenv[harbor]'
# + Harbor, to run and review tasks
pip install 'repo2rlenv[tasksmith,daytona,harbor]'
# + Tasksmith on Daytona (or modal)- Maintenance
- Active
- Last commit yesterday
- Stars
- 782
- +21 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.5
- Released 6 days ago
- Built with
- Python
- 95% of the code
Is it looked after?
- Contributors
- 17
- Last 90 days
- Issues
- 85% closed
- 8 still open
- Pull requests
- 148 merged
- 3 waiting
- Releases
- 23
- 23 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 95%
- TypeScript 2%
- JavaScript 2%
- CSS <1%
Topics
- coding-agents
- datasets
- harbor
- huggingface
- llm
- reinforcement-learning
- rl-environments
- swe-bench
Project record
- JobFine-tuning
- StatusFeatured
- Commits199
- Forks125
- Watching9
- Stars in 28 days+65
- CreatedMay 5, 2026
- First seen by usNov 7, 2026
- CheckedNov 10, 2026