Scale AI open-sources AgentEnv reinforcement learning environment framework
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Scale AI open-sourced AgentEnv, its internal framework for building reinforcement learning environments, which previously underpinned all of its RL environments. AgentEnv starts from the environment, breaking it into versionable composable modules, including environments such as Slack and Gmail, populated data Artifacts, and Rules such as clocks, triggers, and roles, with interoperability achieved through an open protocol. The Environment Card, as part of the AgentEnv Environment Protocol, declares the tools the environment provides.
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- Scale AI Research BlogScale AI open-sources AgentEnv: a framework for building RL environments
Scale AI open-sourced AgentEnv, its internal framework for building reinforcement learning environments, which previously underpinned all of its RL environments. AgentEnv starts with the environment and breaks it into versionable, composable modules, including environments such as Slack and Gmail, data-filling Artifacts, and Rules such as clocks, triggers, and roles, with interoperability achieved through an open protocol. The Environment Card, as part of the AgentEnv Environment Protocol, declares the tools the environment provides and how to access them, and agents can call them via MCP, REST, or a generated CLI; combined with the Agent Card under the A2A protocol, the same task can run on Claude Code, OpenAI's agents, or custom agents. The official release also provides plugin examples such as OpenCiv3, Minecraft/Catan/Poker, and iOS mobile.
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