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Reinforcement Learning

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Monday, 27 July 2026

Kimi AI and kvcache-ai Open Sources ‘AgentENV’: A Distributed System that Powers Agentic Reinforcement Learning (RL) Training for Kimi K3

MarkTechPost 1 month ago 14 ● 33 sources

Moonshot AI's Kimi team and kvcache-ai open-sourced AgentENV, a distributed platform for running isolated Linux environments needed to train language models with reinforcement learning on real computer tasks. The system uses Firecracker microVMs with shared read-only storage layers and memory ballooning to run training at scale, with each sandbox maintaining its own kernel and filesystem while reducing startup overhead. This infrastructure enables agentic RL training for Kimi K3, a 2.8-trillion-parameter model, making it feasible to train agents that interact with real computing systems.

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Reinforcement Learning Open Source Agent Infrastructure Kimi K3

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