AgentENV: Distributed Runtime for AI Agents at Scale (Open Source, Rust)

AgentENV (AENV) is a Rust-based distributed platform for running AI agent environments at scale, now powering Kimi K3’s agentic RL training.

Why It Matters: Most agent frameworks are single-process toys. AENV makes agents distributed with Firecracker micro-VMs:

• 50ms cold start — snapshot environments boot or resume in <50ms
• Incremental snapshot/fork <100ms — fork a running environment into independent sandboxes
• Overlaybd OCI images — no pre-pulling, cluster-wide cache, images can exceed disk capacity
• ublk I/O — host page cache sharing across storage and filesystem, high density
• S3 persistence — snapshots persist to S3-compatible storage

Quick Start:

git clone https://github.com/kvcache-ai/AgentENV
cd AgentENV && cargo build --release
./target/release/agentenv --node-id node1

Enter fullscreen mode Exit fullscreen mode

vs Alternatives:

AENV Ray Kubernetes Isolation micro-VM process pod Cold start 50ms ~1s ~1s+ Snapshot/fork ✅ <100ms ❌ ❌ Agent-native ✅ ❌ ❌

Stars: 1411 · Language: Rust · License: MIT

https://github.com/kvcache-ai/AgentENV