OpenSandbox

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.

Official Container Images

OpenSandbox release images are published under the same component name in three official registries:

• Docker Hub: docker.io/opensandbox/<component>
• GitHub Container Registry: ghcr.io/opensandbox-group/opensandbox/<component>
• Alibaba Cloud Container Registry: sandbox-registry.cn-zhangjiakou.cr.aliyuncs.com/opensandbox/<component>

Tagged release images are signed keylessly with Cosign and include provenance attestations. Pin production images by digest and follow the release verification guide to verify the image against the OpenSandbox GitHub Actions identity before deployment.

SDKs

Python:

pip install opensandbox

Java/Kotlin (Gradle Kotlin DSL):

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

Java/Kotlin (Maven):

<dependency>
    <groupId>com.alibaba.opensandbox</groupId>
    <artifactId>sandbox</artifactId>
    <version>{latest_version}</version>
</dependency>

JavaScript/TypeScript:

npm install @alibaba-group/opensandbox

C#/.NET:

dotnet add package Alibaba.OpenSandbox

Go:

go get github.com/alibaba/OpenSandbox/sdks/sandbox/go

CLI

OpenSandbox also provides osb, a terminal CLI for the common sandbox workflow: create sandboxes, run commands, move files, inspect diagnostics, and manage runtime egress policy.

Install:

pip install opensandbox-cli
# or
uv tool install opensandbox-cli

Quick start:

osb config init
osb config set connection.domain localhost:8080
osb config set connection.protocol http
osb config set connection.api_key <your-api-key>
osb sandbox create --image python:3.12 --timeout 30m -o json
osb command run <sandbox-id> -o raw -- python -c "print(1 + 1)"

See the CLI README for the full command reference.

MCP

The OpenSandbox MCP server exposes sandbox creation, command execution, and text file operations to MCP-capable clients such as Claude Code and Cursor.

Install and run:

pip install opensandbox-mcp
opensandbox-mcp --domain localhost:8080 --protocol http

Minimal stdio config:

{
  "mcpServers": {
    "opensandbox": {
      "command": "opensandbox-mcp",
      "args": ["--domain", "localhost:8080", "--protocol", "http"]
    }
  }
}

See the MCP README for client-specific setup.

Getting Started

Requirements:

• Docker (required for local execution)
• Python 3.10+ (required for examples and local runtime)

Install and Configure the Sandbox Server

uvx opensandbox-server init-config ~/.sandbox.toml --example docker

uvx opensandbox-server

# Show help
# uvx opensandbox-server -h

Create a Code Interpreter and Execute Commands/Codes

Install the Code Interpreter SDK

uv pip install opensandbox-code-interpreter

Create a sandbox and execute commands and codes.

import asyncio
from datetime import timedelta

from code_interpreter import CodeInterpreter, SupportedLanguage
from opensandbox import Sandbox
from opensandbox.models import WriteEntry

async def main() -> None:
    # 1. Create a sandbox
    sandbox = await Sandbox.create(
        "opensandbox/code-interpreter:v1.1.0",
        entrypoint=["/opt/code-interpreter/code-interpreter.sh"],
        env={"PYTHON_VERSION": "3.11"},
        timeout=timedelta(minutes=10),
    )

    async with sandbox:

        # 2. Execute a shell command
        execution = await sandbox.commands.run("echo 'Hello OpenSandbox!'")
        print(execution.logs.stdout[0].text)

        # 3. Write a file
        await sandbox.files.write_files([
            WriteEntry(path="/tmp/hello.txt", data="Hello World", mode=644)
        ])

        # 4. Read a file
        content = await sandbox.files.read_file("/tmp/hello.txt")
        print(f"Content: {content}") # Content: Hello World

        # 5. Create a code interpreter
        interpreter = await CodeInterpreter.create(sandbox)

        # 6. Execute Python code (single-run, pass language directly)
        result = await interpreter.codes.run(
              """
                  import sys
                  print(sys.version)
                  result = 2 + 2
                  result
              """,
              language=SupportedLanguage.PYTHON,
        )

        print(result.result[0].text) # 4
        print(result.logs.stdout[0].text) # 3.11.14

        # 7. Cleanup the sandbox
        await sandbox.kill()

if __name__ == "__main__":
    asyncio.run(main())

More Examples

OpenSandbox provides examples covering SDK usage, agent integrations, browser automation, and training workloads. All example code is located in the examples/ directory.

🎯 Basic Examples

• code-interpreter - End-to-end Code Interpreter SDK workflow in a sandbox.
• aio-sandbox - All-in-One sandbox setup using the OpenSandbox SDK.
• agent-sandbox - Example integration for running OpenSandbox workloads on Kubernetes with kubernetes-sigs/agent-sandbox.
• Volumes — Docker PVC / named volumes, Docker OSSFS, Kubernetes PVC: persistent and shared storage patterns.

🤖 Coding Agent Integrations

• Coding CLIs — Claude Code, Gemini CLI, OpenAI Codex CLI, OpenCode, Qwen Code, Kimi CLI: run each CLI inside OpenSandbox.
• langgraph - LangGraph state-machine workflow that creates/runs a sandbox job with fallback retry.
• google-adk - Google ADK agent using OpenSandbox tools to write/read files and run commands.
• openclaw - Launch an OpenClaw Gateway insid