AgentENV

AgentENV is a distributed platform for running agent environments at scale.

AgentENV is a distributed platform for running agent environments at scale, powering agentic RL training for Kimi K3. It runs massive numbers of Firecracker environments across machines by loading diverse OCI-compatible images on demand via overlaybd. Snapshot-backed environments boot or resume in under 50 milliseconds and pause in under 100 milliseconds, releasing idle resources quickly. The system supports native snapshots and forks, persisting data to S3-compatible object storage or shared filesystems. It delivers high-performance I/O via ublk and exposes an E2B-compatible HTTP API for existing SDK integrations.

AgentENV at a glance

Best for: Software engineer, Researcher
Runs on: Linux, macOS, CLI, API, self-hosted, open source
Pricing: Free
Released: July 2026
Category: AI agent tool
Website: github.com/kvcache-ai/agentenv

Key features

Run massive numbers of Firecracker environments
Load diverse OCI-compatible images on demand
Boot or resume environments in under 50 ms
Pause environments in under 100 ms
Fork running environments into multiple sandboxes
Persist snapshots to S3-compatible object storage
Expose an E2B-compatible HTTP API

Use it for

Run agentic RL training at scale
Execute parallel agent workflows using environment forks
Manage inexpensive idle environments with fast resume times

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