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}")
}

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, Qwen Code, Kimi CLI: run each vendor 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 inside a sandbox.

🌐 Browser and Desktop Environments

• chrome - Chromium sandbox with VNC and DevTools access for automation and debugging.
• playwright - Playwright + Chromium headless scraping and testing example.
• desktop - Full desktop environment in a sandbox with VNC access.
• vscode - code-server (VS Code Web) running inside a sandbox for remote dev.

🧠 ML and Training

• rl-training - DQN CartPole training in a sandbox with checkpoints and summary output.

For more details, please refer to the examples documentation.

Project Structure

Directory	Description
sdks/	Multi-language SDKs (Python, Java/Kotlin, TypeScript/JavaScript, C#/.NET)
specs/	OpenAPI specs and lifecycle specifications
server/	Python FastAPI sandbox lifecycle server
cli/	OpenSandbox command-line interface
kubernetes/	Kubernetes deployment and examples
components/execd/	Sandbox execution daemon (commands and file operations)
components/ingress/	Sandbox traffic ingress proxy
components/egress/	Sandbox network egress control
sandboxes/	Runtime sandbox implementations
examples/	Runnable example code
docs/examples/	Example documentation and use cases
oseps/	OpenSandbox Enhancement Proposals
docs/	Architecture and design documentation
tests/	Cross-component E2E tests
scripts/	Development and maintenance scripts

For detailed architecture, see Architecture.

Documentation

• Architecture – Overall architecture & design philosophy
• Credential Vault - Credential Vault credential injection guide
• Release Verification - Release signing and artifact verification
• oseps/README.md – OpenSandbox Enhancement Proposals
• SDK
  • Sandbox base SDK (Java/Kotlin SDK, Python SDK, JavaScript/TypeScript SDK, C#/.NET SDK), Go SDK - includes sandbox lifecycle, command execution, file operations
  • Code Interpreter SDK (Java/Kotlin SDK, Python SDK, JavaScript/TypeScript SDK, C#/.NET SDK) - code interpreter
• cli/README.md - OpenSandbox CLI installation and command reference
• sdks/mcp/sandbox/python/README.md - MCP server installation and client setup
• specs/README.md - OpenAPI definitions for sandbox lifecycle API and sandbox execution API
• server/README.md - Sandbox server startup and configuration; supports Docker and Kubernetes runtimes
• ROADMAP.md - Lightweight project roadmap and planning process

License

This project is open source under the Apache 2.0 License.

Roadmap

See ROADMAP.md for the current project roadmap, planning scope, and how roadmap items are managed.

Contact and Discussion

• Issues: Submit bugs, feature requests, or design discussions through GitHub Issues
• Discord: Join the OpenSandbox Discord community
• DingTalk: Join the OpenSandbox technical discussion group

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