Kimi团队把内部训练智能体的分布式系统AgentENV开源了，支持毫秒级快照和16路fork，搞强化学习训练省事儿很多。
Moonshot AI的Kimi团队与kvcache-ai于7月27日开源AgentENV（AENV），采用MIT协议，作为Kimi K3开放日的一部分。该系统将Agent沙箱运行在Firecracker微虚拟机中，支持毫秒级快照、恢复和16路fork。它提供E2B兼容的API，用于大规模智能体强化学习训练。
Kimi AI and kvcache-ai Open Sources ‘AgentENV’: A Distributed System that Powers Agentic Reinforcement Learning (RL) Training for Kimi K3
Moonshot AI's Kimi team and kvcache-ai open-sourced AgentENV (AENV) under MIT, as part of Kimi K3 Open Day. It runs agent sandboxes as Firecracker microVMs with millisecond snapshot, resume, and 16-way fork, behind an E2B-compatible API. The post Kimi AI and kvcache-ai Open Sources ‘AgentENV’: A Distributed System that Powers Agentic Reinforcement Learning (RL) Training for Kimi K3 appeared first on MarkTechPost .