HubLensRustTencentCloud/CubeSandbox
// archived 2026-04-23
TencentCloud

CubeSandbox

Infra#Sandbox#Virtualization#KVM#eBPF#Rust
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// summary

CubeSandbox is a high-performance, secure sandbox service built on RustVMM and KVM that provides hardware-level isolation for AI agents. It features sub-60ms cold start times and ultra-low memory overhead, allowing for high-density deployment on single or multi-node clusters. The platform is fully compatible with the E2B SDK, enabling developers to migrate existing projects with zero code changes.

// technical analysis

CubeSandbox is a high-performance, secure sandbox service designed specifically for AI agents, leveraging RustVMM and KVM to provide hardware-level isolation. By utilizing resource pool pre-provisioning and snapshot cloning, it solves the challenge of high-latency sandbox initialization, enabling sub-60ms startup times. The architecture prioritizes extreme density and security, using eBPF for network isolation and a stripped-down runtime to maintain a minimal memory footprint of under 5MB per instance, making it a robust alternative to shared-kernel container approaches.

// key highlights

01
Achieves sub-60ms cold start times by utilizing resource pool pre-provisioning and snapshot cloning technology.
02
Enables high-density deployment by keeping per-instance memory overhead below 5MB through aggressive runtime trimming.
03
Provides true kernel-level isolation for each agent, eliminating the security risks associated with shared-kernel container environments.
04
Offers native compatibility with the E2B SDK, allowing developers to migrate to CubeSandbox by simply updating an environment variable.
05
Enforces strict inter-sandbox network security and egress traffic filtering using an eBPF-powered virtual switch.
06
Proven production-ready through extensive validation within Tencent Cloud's large-scale infrastructure environments.

// use cases

01
Secure execution of LLM-generated code with kernel-level isolation
02
High-density AI agent hosting with minimal memory footprint
03
Drop-in replacement for E2B-based sandbox environments

// getting started

To begin, ensure you have a KVM-enabled x86_64 Linux environment, such as a bare-metal server or WSL 2. Use the provided one-click installation script to deploy the service, create a code interpreter template from a prebuilt image using the cubemastercli, and then configure your application to point to the CubeSandbox API URL to start executing code via the E2B SDK.