OpenEnvFramework for creating and deploying execution environments for agentic reinforcement learning through a Gymnasium-style API.BSD-3-Clause
Framework for creating and deploying execution environments for agentic reinforcement learning through a Gymnasium-style API.
OpenEnv provides execution environments for training and evaluating AI agents with reinforcement learning. Clients interact through reset, step and state operations over WebSockets, using synchronous or asynchronous calls. Environments are packaged as Docker images for local, cloud-sandbox or Hugging Face Spaces deployment; developers can scaffold custom environments, compose rewards and connect supported training frameworks.
OpenEnv README · Reviewed 2026-10-31
- 01 / Feature noteCommon environment interface
Use reset, step and state operations through synchronous or asynchronous clients.
Feature source ↗ - 02 / Feature noteContainerized environments
Package environments as Docker images for local execution, cloud sandboxes or Hugging Face Spaces.
Feature source ↗
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2,828
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BSD-3-Clause
Repository created
2025-10-01
Repository push
2026-11-03
2025-10-01GitHub release
2026-10-29 · v0.11.0Repository push
2026-11-03
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GitHub release
Published 2026-10-29
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