OpenSandbox

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OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox APIs, and Docker/Kubernetes runtimes for scenarios like Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training.

Features

• 🧩 SDKs, CLI, and MCP: Provides multi-language SDKs, the osb CLI, and MCP server integration for sandbox creation, command execution, and file operations. See SDKs, CLI, and MCP.
• 📜 Sandbox Protocol: Defines sandbox lifecycle management APIs and sandbox execution APIs so you can extend custom sandbox runtimes. See API specs.
• 🚀 Sandbox Runtime: Built-in lifecycle management supporting Docker and high-performance Kubernetes runtime, enabling both local runs and large-scale distributed scheduling. See Kubernetes runtime.
• 🖥️ Sandbox Environments: Built-in Command, Filesystem, and Code Interpreter implementations. Examples cover Coding Agents (e.g., Claude Code), browser automation (Chrome, Playwright), and desktop environments (VNC, VS Code).
• 🚦 Network Policy: Unified ingress gateway with multiple routing strategies plus per-sandbox egress controls. See Ingress Gateway and egress controls.
• 🔑 Credential Vault: Secure credential injection for sandbox outbound requests without exposing real secrets to workloads. See Credential Vault.
• 🏰 Strong Isolation: Supports secure container runtimes like gVisor, Kata Containers, and Firecracker microVM for enhanced isolation between sandbox workloads and the host. See Secure Container Runtime Guide for details.

SDKs

Python:

pip install opensandbox

Java/Kotlin (Gradle Kotlin DSL):

dependencies {
    implementation("com.alibaba.opensandbox:sandbox:{latest_version}")
}

Jav