Environments¶
The OpenEnv community has built a catalog of ready-to-run environments that cover deterministic smoke tests, full developer workflows, and multi-step reasoning challenges. Explore the surface area below and jump directly into the guides for each environment.
Minimal observation/action loop for verifying client integrations, CI pipelines, and onboarding flows in seconds.
Secure sandbox with filesystem access and evaluation hooks for executing generated code and building autonomous dev workflows.
Message-driven loop tailored for conversational agents that need structured turns, safety rails, and message attribution.
Classic Arcade Learning Environment tasks packaged for fast benchmarking of reinforcement-learning style agents.
Multi-agent, game-theory workloads powered by DeepMind’s OpenSpiel suite, ideal for search and self-play experiments.
Traffic control scenarios with SUMO simulators for agents that reason about continuous control and scheduling.
Financial market simulations with portfolio APIs, perfect for RLHF strategies and algorithmic trading experiments.
Multi-task text arena for language-game competitions such as Wordle, reasoning puzzles, and program synthesis.
Teaches agents to navigate repositories, inspect diffs, and land changes via Git-native operations.
Safety-critical diagnostics from the DIPG benchmark, highlighting guardrails, adversarial prompts, and risk scoring.
Classic snake game environment for RL research with configurable grids, partial observability, and customizable rewards.
Web search environment for RL research with configurable grids, partial observability, and customizable rewards.
Want to publish your own environment? Head over to the Build Your Own Environment guide for a step-by-step walkthrough.