In simple English
When your artificial intelligence agent writes and runs code, you need a safe place where it cannot break your server. This tool creates a tiny, secure virtual machine in milliseconds. It isolates every task so the agent can safely test code or browse the web. You drop it in as a replacement for existing cloud sandbox tools. It needs a Linux server with hardware virtualization turned on.
What it is
CubeSandbox is a secure, lightweight sandbox service built on RustVMM and KVM. It boots micro-virtual-machines in under 60 milliseconds with minimal memory overhead.
What it is good for
Solo builders running autonomous artificial intelligence agents who need to execute untrusted code securely without heavy server overhead.
- Starts up in under sixty milliseconds, avoiding long cold starts.
- Uses very little memory per sandbox, letting you run thousands on a single server.
- Compatible with existing E2B software development kits for easy migration.
- Requires an x86_64 Linux server with kernel-based virtual machine support enabled.
- Setting up a multi-node cluster demands advanced infrastructure knowledge.
- Custom licence terms apply rather than a standard open-source licence.
Heavy traditional virtual machines or standard Docker containers with shared kernel security risks
OpenClaw or similar artificial intelligence agent frameworks
- e2b-dev/E2B15k stars
A cloud-hosted sandbox platform for AI agents with a similar software development kit interface.
- kata-containers/kata-containers9.0k stars
A secure container runtime that uses lightweight virtual machines for hardware-level isolation.
git clone https://github.com/TencentCloud/CubeSandbox.git cd CubeSandbox # Follow the quick start guide in docs/guide/quickstart.md for deployment options.