# CubeSandbox — Lightweight AI Agent Sandbox by Tencent

> An instant, concurrent, and secure sandbox runtime for AI agents developed by Tencent Cloud. CubeSandbox provides lightweight container-based isolation for agent code execution with fast startup times.

## Install

Save in your project root:

# CubeSandbox — Lightweight AI Agent Sandbox by Tencent

## Quick Use
```bash
git clone https://github.com/TencentCloud/CubeSandbox.git
cd CubeSandbox
cargo build --release
./target/release/cubesandbox serve --port 8080
```

## Introduction
CubeSandbox is an open-source sandbox runtime from Tencent Cloud designed for AI agent code execution. It provides instant-start, concurrent sandboxes where agents can safely run code, install packages, and interact with file systems without affecting the host environment.

## What CubeSandbox Does
- Creates lightweight sandboxed environments for AI agent code execution
- Starts new sandbox instances in milliseconds for low-latency agent workflows
- Supports concurrent sandbox sessions for parallel agent operations
- Provides file system, network, and process isolation per sandbox
- Exposes an HTTP API for programmatic sandbox management

## Architecture Overview
CubeSandbox is built in Rust and uses lightweight container primitives for isolation. Each sandbox is a minimal environment with its own file system overlay and process namespace. The HTTP API allows creating, managing, and destroying sandboxes programmatically. A resource manager handles concurrent sandbox allocation and enforces limits on CPU, memory, and disk usage per instance.

## Self-Hosting & Configuration
- Build from source with the Rust toolchain on Linux
- Start the sandbox server with a single command specifying the listen port
- Configure resource limits per sandbox in the server configuration
- Set up pre-built sandbox images with common runtimes (Python, Node.js, etc.)
- Integrate with AI agents via the HTTP API for sandbox lifecycle management

## Key Features
- Millisecond sandbox startup for responsive agent workflows
- Concurrent sandbox support for parallel code execution
- Built in Rust for safety and performance
- HTTP API for easy integration with any AI agent framework
- Developed and backed by Tencent Cloud

## Comparison with Similar Tools
- **E2B** — cloud-hosted sandbox service; CubeSandbox runs on your own infrastructure
- **OpenShell (NVIDIA)** — focuses on shell command isolation; CubeSandbox provides full sandbox environments
- **Docker** — general container runtime; CubeSandbox is optimized for fast, ephemeral agent sandboxes
- **Daytona** — cloud dev environments; CubeSandbox targets short-lived agent execution contexts

## FAQ
**Q: How fast do sandboxes start?**
A: Sandbox instances start in single-digit milliseconds using pre-prepared filesystem overlays.

**Q: What programming languages can run inside a sandbox?**
A: Any language available in the sandbox image. Pre-built images include Python, Node.js, and shell environments.

**Q: Can sandboxes access the internet?**
A: Network access is configurable per sandbox. It can be fully blocked, restricted to specific hosts, or open.

**Q: Is it production-ready?**
A: CubeSandbox is under active development by Tencent Cloud. Check the repository for current stability status and known issues.

## Sources
- https://github.com/TencentCloud/CubeSandbox

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Source: https://tokrepo.com/en/workflows/asset-10c25319
Author: AI Open Source