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ScriptsMay 24, 2026·2 min de lecture

OpenSandbox — Secure AI Agent Sandbox by Alibaba

An open-source sandbox runtime by Alibaba for running AI agent code safely, providing fast startup, strong isolation, and extensible tool integration.

Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Native · 98/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
OpenSandbox Overview
Commande CLI universelle
npx tokrepo install f2ddcc4a-5727-11f1-9bc6-00163e2b0d79

Introduction

OpenSandbox is an open-source sandbox runtime by Alibaba designed for AI agents to execute code safely. It provides fast container startup, strong process isolation, and a pluggable tool system, making it suitable for production AI agent deployments that need to run untrusted code.

What OpenSandbox Does

  • Creates isolated execution environments for AI-generated code
  • Provides sub-second container startup for responsive agent workflows
  • Enforces resource limits on CPU, memory, disk, and network
  • Supports Python, Node.js, and shell execution runtimes
  • Integrates with Kubernetes for scalable deployment

Architecture Overview

OpenSandbox uses lightweight container technology with a custom runtime that optimizes for fast cold starts. Each sandbox instance runs in an isolated namespace with its own filesystem, network stack, and process tree. A control plane manages sandbox lifecycle, resource quotas, and tool registration. The architecture supports both single-node and Kubernetes-based multi-node deployments.

Self-Hosting & Configuration

  • Install via pip or deploy as a Kubernetes operator
  • Configure resource limits per sandbox via YAML policies
  • Register custom tools and file mounts for agent access
  • Set network policies to control outbound connectivity
  • Monitor sandbox health via built-in Prometheus metrics

Key Features

  • Sub-second sandbox creation for low-latency agent responses
  • Strong isolation with namespace and cgroup enforcement
  • Pluggable runtime support for Python, Node.js, and shell
  • Kubernetes-native operator for production scaling
  • Built-in resource monitoring and quota enforcement

Comparison with Similar Tools

  • E2B — cloud-hosted sandboxes; OpenSandbox is self-hostable
  • CubeSandbox — Tencent sandbox; OpenSandbox is by Alibaba with Kubernetes focus
  • Daytona — dev environment focus; OpenSandbox targets agent code execution
  • Firecracker — microVM-based; OpenSandbox uses container isolation for faster startup

FAQ

Q: Is OpenSandbox production-ready? A: Yes. It is developed by Alibaba and designed for production AI agent deployments.

Q: Can agents access the internet from sandboxes? A: Configurable. Network policies can allow or deny outbound access per sandbox.

Q: How fast is sandbox creation? A: Sub-second cold starts using pre-warmed container pools and optimized image layers.

Q: What runtimes are supported? A: Python 3.x, Node.js, and shell environments. Custom runtimes can be added via container images.

Sources

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