Buckets:
| # Environments | |
| > [!NOTE] | |
| > The environments listed here may not reflect the latest additions. For the official OpenEnv collection, see the [OpenEnv organization on Hugging Face](https://huggingface.co/openenv). You may also find additional community environments tagged `agent-environment` on [Hugging Face Spaces](https://huggingface.co/spaces?category=agent-environment). The environments highlighted below are a curated selection. | |
| 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. | |
| Echo | |
| Minimal observation/action loop for verifying client integrations, CI pipelines, and onboarding flows in seconds. | |
| ๐ Docs | |
| ๐ค HF | |
| Coding | |
| Secure sandbox with filesystem access and evaluation hooks for executing generated code and building autonomous dev workflows. | |
| ๐ Docs | |
| ๐ค HF | |
| Jupyter | |
| Notebook-style coding environment backed by E2B with setup/verify hooks and a web UI for interactive runs. | |
| ๐ Docs | |
| Terminus | |
| Terminal-first coding environment with high-contrast shell output and session controls for execute/verify/close flows. | |
| ๐ Docs | |
| Coding Tools | |
| SETA-style multi-tool coding environment with shell, file editing, search, todos, and submit verification. | |
| ๐ Docs | |
| Chat | |
| Message-driven loop tailored for conversational agents that need structured turns, safety rails, and message attribution. | |
| ๐ Docs | |
| ๐ค HF | |
| Atari | |
| Classic Arcade Learning Environment tasks packaged for fast benchmarking of reinforcement-learning style agents. | |
| ๐ Docs | |
| ๐ค HF | |
| OpenSpiel | |
| Multi-agent, game-theory workloads powered by DeepMind's OpenSpiel suite, ideal for search and self-play experiments. | |
| ๐ Docs | |
| ๐ค HF | |
| SUMO-RL | |
| Traffic control scenarios with SUMO simulators for agents that reason about continuous control and scheduling. | |
| ๐ Docs | |
| FinRL | |
| Financial market simulations with portfolio APIs, perfect for RLHF strategies and algorithmic trading experiments. | |
| ๐ Docs | |
| TextArena | |
| Multi-task text arena for language-game competitions such as Wordle, reasoning puzzles, and program synthesis. | |
| ๐ Docs | |
| ๐ค HF | |
| Git | |
| Teaches agents to navigate repositories, inspect diffs, and land changes via Git-native operations. | |
| ๐ Docs | |
| DIPG Safety | |
| Safety-critical diagnostics from the DIPG benchmark, highlighting guardrails, adversarial prompts, and risk scoring. | |
| ๐ Docs | |
| ๐ค HF | |
| Snake | |
| Classic snake game environment for RL research with configurable grids, partial observability, and customizable rewards. | |
| ๐ Docs | |
| ๐ค HF | |
| Web Search | |
| Web search environment for RL research with configurable grids, partial observability, and customizable rewards. | |
| ๐ Docs | |
| ๐ค HF | |
| BrowserGym | |
| Browser automation environment for web agents with DOM interaction, navigation, and multi-step task completion. | |
| ๐ Docs | |
| ๐ค HF | |
| KernRL | |
| RL environment for GPU kernel optimization. Train LLM agents to write fast CUDA/Triton kernels that beat baseline implementations. | |
| ๐ Docs | |
| Calendar | |
| Calendar tool-use environment exposing a Calendar Gym through the OpenEnv reset/step/state interface for scheduling agents. | |
| ๐ Docs | |
| CARLA | |
| Embodied evaluation environment for testing LLM decision-making in a full 3D driving simulator with irreversible consequences and ethical trolley scenarios. | |
| ๐ Docs | |
| ๐ค HF | |
| Chess | |
| Chess RL environment powered by the moonfish engine with configurable opponents, position evaluation, and full chess rules. | |
| ๐ Docs | |
| Connect4 | |
| Classic Connect Four board game environment for training agents on turn-based strategy with a 6ร7 grid. | |
| ๐ Docs | |
| DM Control | |
| Generic OpenEnv wrapper for dm_control.suite, providing access to all MuJoCo-based continuous control tasks like cartpole, walker, and humanoid. | |
| ๐ Docs | |
| FinQA | |
| Financial question-answering environment that evaluates LLMs on complex financial questions using tool calls on SEC 10-K filing data. | |
| ๐ Docs | |
| Grid World | |
| Simple 5ร5 grid world RL testbed and step-by-step guide for building new OpenEnv environments from scratch. | |
| ๐ Docs | |
| ๐ค HF | |
| Julia | |
| Julia code execution environment with test result tracking and reward calculation for RL training on Julia programming tasks. | |
| ๐ Docs | |
| Maze | |
| Gridworld maze where agents navigate from start to exit while avoiding walls, with configurable 8ร8 layouts. | |
| ๐ Docs | |
| OpenApp | |
| Web application simulation wrapping the OpenApps framework and BrowserGym for training UI agents on calendar, todo, messenger, and maps apps. | |
| ๐ Docs | |
| Reasoning Gym | |
| Integrates the Reasoning Gym library to provide single-step reasoning tasks with configurable datasets and scoring. | |
| ๐ Docs | |
| REPL | |
| Python REPL environment for code execution tasks based on the Recursive Language Models paradigm with sandboxed execution and context loading. | |
| ๐ Docs | |
| TB2 | |
| OpenEnv wrapper for Terminal-Bench 2 tasks with local and Docker execution modes for terminal-based agent evaluation. | |
| ๐ Docs | |
| Unity | |
| OpenEnv wrapper for Unity ML-Agents environments, providing access to Unity's RL environments through HTTP/WebSocket interfaces. | |
| ๐ Docs | |
| Wildfire | |
| Autonomous wildfire-control simulation where agents contain spreading fires using water, firebreaks, and timing under dynamic conditions. | |
| ๐ Docs | |
| Agent World Model | |
| AgentWorldModel-1K โ 1,000 synthetic MCP tool-use environments with 10,000 tasks for large-scale agentic RL training. | |
| ๐ Docs | |
| ๐ค HF | |
| OpenCode | |
| opencode_env runs the OpenCode coding agent inside an isolated E2B sandbox against any OpenAI-compatible LLM endpoint, optionally capturing per-token logprobs. | |
| ๐ Docs | |
| > [!TIP] | |
| > Want to publish your own environment? Head over to the [Build Your Own Environment](getting_started/environment-builder) guide for a step-by-step walkthrough. | |
| ## Community Environments | |
| RLVE Gym | |
| A suite of 400 environments that procedurally generate reasoning problems for LM training with configurable difficulty. | |
| ๐ Docs | |
| ๐ค HF | |
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