
boxlite
Sandboxes for every agent — embeddable, stateful, with snapshots and hardware isolation.
The Lens
Boxlite gives you lightweight sandboxes. Each sandbox is a stateful micro-VM with hardware isolation, snapshots, and an API to control it. Picture giving every AI agent its own disposable computer.
The project is open source under Apache 2.0 and self-hosting is free. It's early but growing fast. The 'agent sandboxing' space is heating up as AI agents get more autonomous and need safer execution environments.
The catch: this is emerging technology. The documentation and ecosystem are still maturing. Running Firecracker-based micro-VMs requires Linux with KVM support. No macOS, no Windows natively. And the question of whether you need full VM isolation versus Docker containers depends on your threat model. For most use cases, Docker is simpler. Boxlite is for when you can't trust the code being executed.
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Free vs Self-Hosted vs Paid
fully freeFully open source under Apache 2.0. No paid tier announced. Self-host on any Linux machine with KVM support.
**Infrastructure cost:** Each micro-VM is lightweight (boots in <125ms, minimal RAM overhead), but you need a Linux host with KVM. A $20-40/mo dedicated server from Hetzner handles dozens of concurrent sandboxes. Cloud VMs from AWS/GCP work if they support nested virtualization.
**Compared to alternatives:** E2B (commercial agent sandboxing) charges per sandbox-hour. Modal charges per compute-second. Boxlite is free to run yourself. The cost is the server and your ops time.
**When it's worth it:** If you're running untrusted code from AI agents at any meaningful volume, self-hosted sandboxing saves significantly over pay-per-use commercial alternatives.
Free to self-host on Linux with KVM. No paid tier. Server cost is $20-40/mo for meaningful capacity.
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