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
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
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