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  # OpenEnv: Agentic Execution Environments
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- An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs.
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  [![PyPI](https://img.shields.io/pypi/v/openenv?color=blue)](https://pypi.org/project/openenv/)
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  [![Discord](https://img.shields.io/badge/Discord-OpenEnv-7289da?style=flat&logo=discord&logoColor=white)](https://discord.gg/YsTYBh6PD9)
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  [![Docs](https://img.shields.io/badge/Docs-Explore-blue?logo=readthedocs&logoColor=white)](https://meta-pytorch.org/OpenEnv/)
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- ## OpenEnv: Agentic Execution Environments
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-
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- A community driven collection of OpenEnv-spec Environments composed of a **Hub** and a **Standardized spec** to ensure environment compatibility.
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  <a href="https://rdi.berkeley.edu/agentx-agentbeats.html" style="text-decoration: none; color: inherit; width: 100%; height: 120px; margin-bottom: 10px; margin-top: 10px;">
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- <div style="padding: 5px; padding-left: 20px; border-radius: 8px; background-color: lightgray; color: black; box-shadow: 1px 1px 3px rgba(0,0,0,0.1); border: 2px solid #3498db; height: 100%; transition: all 0.3s ease;" onmouseover="this.style.transform='scale(1.02)'; this.style.boxShadow='2px 2px 8px rgba(0,0,0,0.2)'; this.style.backgroundImage='linear-gradient(to bottom, #d6f0ff, #b8daff)';" onmouseout="this.style.transform='scale(1)'; this.style.boxShadow='1px 1px 3px rgba(0,0,0,0.1)'; this.style.backgroundImage='linear-gradient(to bottom, #e6f7ff, #cce5ff)';">
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  <p> Join the Hackathon! </p>
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  <p>Additionally, we’re thrilled to announce a new AgentBeats custom track: the <strong><a href="https://drive.google.com/file/d/1NASall4R84xAhoDdcaMwwJ78Ao3B-EK4/view?usp=sharing" rel="">OpenEnv Challenge: SOTA Environments to Drive General Intelligence</a></strong>, sponsored by the <a href="https://pytorch.org/" rel="">PyTorch</a> team at <a href="https://www.meta.com/" rel="">Meta</a>, <a href="https://huggingface.co/" rel="">Hugging Face</a>, and <a href="https://unsloth.ai/" rel="">Unsloth</a>. Participants will compete to develop innovative, open-source RL environments that push the frontiers of agent learning, with a prize pool of <strong>$10K in Hugging Face credits</strong>, and the chance to be published on the <a href="https://pytorch.org/blog/" rel="">PyTorch blog</a></p>
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  <a href="https://rdi.berkeley.edu/agentx-agentbeats.html">Sign up here</a>
 
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  # OpenEnv: Agentic Execution Environments
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  [![PyPI](https://img.shields.io/pypi/v/openenv?color=blue)](https://pypi.org/project/openenv/)
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  [![Discord](https://img.shields.io/badge/Discord-OpenEnv-7289da?style=flat&logo=discord&logoColor=white)](https://discord.gg/YsTYBh6PD9)
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  [![Docs](https://img.shields.io/badge/Docs-Explore-blue?logo=readthedocs&logoColor=white)](https://meta-pytorch.org/OpenEnv/)
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+ An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs. A community driven collection of OpenEnv-spec Environments composed of a **Hub** and a **Standardized spec** to ensure environment compatibility.
 
 
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  <a href="https://rdi.berkeley.edu/agentx-agentbeats.html" style="text-decoration: none; color: inherit; width: 100%; height: 120px; margin-bottom: 10px; margin-top: 10px;">
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+ <div style="padding: 5px; padding-left: 20px; border-radius: 8px; background-color: whitesmoke; color: black; box-shadow: 1px 1px 3px rgba(0,0,0,0.1); border: 2px solid #3498db; height: 100%; transition: all 0.3s ease;" onmouseover="this.style.transform='scale(1.02)'; this.style.boxShadow='2px 2px 8px rgba(0,0,0,0.2)'; this.style.backgroundImage='linear-gradient(to bottom, #d6f0ff, #b8daff)';" onmouseout="this.style.transform='scale(1)'; this.style.boxShadow='1px 1px 3px rgba(0,0,0,0.1)'; this.style.backgroundImage='linear-gradient(to bottom, #e6f7ff, #cce5ff)';">
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  <p> Join the Hackathon! </p>
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  <p>Additionally, we’re thrilled to announce a new AgentBeats custom track: the <strong><a href="https://drive.google.com/file/d/1NASall4R84xAhoDdcaMwwJ78Ao3B-EK4/view?usp=sharing" rel="">OpenEnv Challenge: SOTA Environments to Drive General Intelligence</a></strong>, sponsored by the <a href="https://pytorch.org/" rel="">PyTorch</a> team at <a href="https://www.meta.com/" rel="">Meta</a>, <a href="https://huggingface.co/" rel="">Hugging Face</a>, and <a href="https://unsloth.ai/" rel="">Unsloth</a>. Participants will compete to develop innovative, open-source RL environments that push the frontiers of agent learning, with a prize pool of <strong>$10K in Hugging Face credits</strong>, and the chance to be published on the <a href="https://pytorch.org/blog/" rel="">PyTorch blog</a></p>
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  <a href="https://rdi.berkeley.edu/agentx-agentbeats.html">Sign up here</a>