The open source community launched OpenEnv, a framework designed specifically for agentic reinforcement learning. It standardizes how agents interact with complex environments to improve training stability. Developers can now build and benchmark autonomous agents using a shared, interoperable infrastructure. This reduces the friction of creating custom RL environments from scratch.