Moonshot AI and kvcache-ai open-source AgentENV
AgentENV is an open-source distributed platform developed in collaboration between Moonshot AI and kvcache-ai to run agent environments at scale. Built with high-performance features such as fast snapshotting, resuming, and state forking, AgentENV powers the parallel agentic reinforcement learning (RL) training workflows behind models like Kimi K3.
Scaling agent environments is a critical bottleneck in RL training for complex AI agents, and open-sourcing AgentENV provides vital infrastructure for parallel agent simulation.
- –Fast snapshot, resume, and fork support enable efficient state exploration in complex environment trees.
- –Proven in production powering agentic RL training for Kimi K3.
- –Collaboration with kvcache-ai highlights a heavy focus on memory management and high-throughput execution across distributed nodes.
DISCOVERED
2h ago
2026-07-27
PUBLISHED
2h ago
2026-07-27
RELEVANCE
AUTHOR
Kimi_Moonshot