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arcbox vs CubeSandbox

Open-source container and VM runtime for macOS in pure Rust: drop-in Docker engine, sub-100ms agent sandboxes (`abctl claude`), full Linux VMs and throwaway macOS guests on one daemon. — versus — Hardware-isolated microVM sandboxes for AI agents — sub-60ms boot, <5MB overhead, E2B-compatible API, self-hosted on your own KVM nodes.

The curated verdict

Both give agents hardware-isolated microVMs in under 100ms. CubeSandbox is Linux/KVM with an E2B-compatible API for self-hosted fleets; ArcBox is the macOS-native runtime — its own VMM — with Docker compatibility on the side.

arcboxCubeSandbox
Stars3.0k12k
Forks931.1k
LanguageRustRust
LicenseApache-2.0NOASSERTION
Last activity5 days ago2 days ago
Topicslocal, agentsagents, local
Curated connections314

arcbox — the curator's take

The macOS answer to 'where does my agent run?': one daemon, its own VMM and VirtIO stack, and four workloads on it — Docker-compatible containers (your Compose files just work), disposable microVM sandboxes for agents and untrusted code, full Linux machines, and cloned macOS guests. OrbStack's speed, open source. `abctl claude` drops Claude Code into an isolated VM in one command, and the same sandbox primitive runs in ArcBox's cloud if you outgrow the laptop. NOT for Linux servers (this is a Mac runtime), and it's public beta — Docker parity is broad but not total; run `abctl doctor` before trusting a workflow.

CubeSandbox — the curator's take

Reach for CubeSandbox the moment your agents execute model-generated code and "just run it in Docker" stops feeling safe — it gives every tool call a disposable hardware-isolated microVM with E2B's SDK ergonomics, minus the SaaS bill, plus snapshot/rollback of any sandbox state. The catch: it's real infrastructure — you need KVM-capable Linux hosts and someone willing to operate them. Prototyping a single local agent? A container or E2B's hosted tier is less machinery. It's a runtime, not a framework — you still bring LangGraph/AutoGen/whatever on top.