Harbor is a framework for running agent evaluations and creating and using RL environments.
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Updated
Jun 9, 2026 - Python
Harbor is a framework for running agent evaluations and creating and using RL environments.
A Universal Platform for Training and Evaluation of Mobile Interaction
A graphical interface for reinforcement learning and gym-based environments.
Interoperating between (Deep) Reiforcement Learning libraries
Gymnasium-style API standard for RL environment creation in JAX
Create new gridworld gym environments easily
Workspace manager for coding agents. Interactively solve and develop Harbor tasks.
A lightweight, open-source framework that turns historical GitHub pull requests into reproducible, verifiable software-engineering tasks for training and evaluating coding agents.
Foundry Lite: a public runnable sample of Veyl’s local environment harness for software-engineering agent evals.
Pure Go implementation of the Gymnasium RL environment API. 3–349× faster than Python.
Surge AI — large-scale human-labeled data for LLM training
RL environments for scientific AI agents with conformal-calibrated rewards
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