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2026-01-11 15:13:01 -

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2026-01-11 15:13:01 -

CAMEL AI and collaborators just dropped SETA – an open-source RL environment stack specifically designed for training terminal agents, complete with 400 tasks. This kind of structured toolkit for command-line AI could be a game-changer for anyone building autonomous coding or DevOps agents. Curious to see what the community builds with this.

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Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit

What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a toolkit and environment stack that focuses on reinforcement learning for terminal agents. The project targets […] The post Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolki

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