OpenSandbox

---

OpenSandbox is a general-purpose sandbox platform for AI applications. It gives Coding Agents, GUI Agents, Agent Evaluation, AI Code Execution, and RL Training workloads a secure, scalable place to run — with the same API from a laptop to a large cluster.

Features

• 🧩 SDKs, CLI, and MCP: Native SDKs for Python, Java/Kotlin, TypeScript, C#/.NET, and Go, plus the osb CLI and an MCP server — one API surface for sandbox creation, command execution, and file operations. See SDKs, CLI, and MCP.
• 📜 Open Protocol: Sandbox lifecycle and execution APIs are defined as public OpenAPI contracts, so custom runtimes can plug in without changing client code. See API specs.
• 🚀 Sandbox Runtime and Environments: Docker and Kubernetes runtimes behind the same SDK calls, with built-in Command, Filesystem, and Code Interpreter environments — covering Coding Agents (e.g., Claude Code), browser automation (Chrome, Playwright), and desktop environments (VNC, VS Code). See Kubernetes runtime.
• ⚡ Hybrid Deployment: Mix long-running, Kubernetes-native container workloads with short-lived microVM sandboxes in one cluster. Pre-warmed, Firecracker-backed pools give constant-time admission and ~80ms startup; FastSandbox pause/resume checkpoints state to the artifact store and releases all compute, resuming on any host. See Fast Sandbox.
• 🚦 Network Policy and Credential Vault: Unified ingress gateway with multiple routing strategies, per-sandbox egress controls, and secure credential injection that keeps real secrets away from sandbox workloads. See Ingress Gateway, egress controls, and Credential Vault.
• 🏰 Strong Isolation: Run workloads under gVisor, Kata Containers, or Firecracker microVMs for strong isolation from the host. See the Secure Container Runtime Guide.

Official Container Images

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

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

SDKs

Pick your language:

pip install opensandbox

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

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

npm install @alibaba-group/opensandbox

dotnet add package Alibaba.OpenSandbox

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 Sandbox and Execute Commands/Scripts

Install the Sandbox SDK

uv pip install opensandbox

Create a sandbox from an alpine image and execute commands and scripts.

import asyncio
from opensandbox import Sandbox
from opensandbox.models import WriteEntry
async def main() -> None:
    # 1. Create a sandbox from the alpine image
    sandbox = await Sandbox.create("alpine")
try:
        # 2. Execute a shell command
        execution = await sandbox.commands.run("echo 'Hello OpenSandbox!'")
        print(execution.logs.stdout[0].text)
# 3. Write a script file
        await sandbox.files.write_files([
            WriteEntry(
                path="/tmp/hello.sh",
                data="echo \"Hello $1\"\necho '2 + 2 =' $((2 + 2))",
                mode=755,
            )
        ])
# 4. Read the file back
        content = await sandbox.files.read_file("/tmp/hello.sh")
        print(f"Content: {content}")
# 5. Execute the script
        execution = await sandbox.commands.run("sh /tmp/hello.sh OpenSandbox")
        for log in execution.logs.stdout:
            print(log.text)
finally:
        # 6. Cleanup the sandbox
        await sandbox.destroy()
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 inside a sandbox.
• deer-flow - DeerFlow agent turns whose shell, file, and search tools run inside a sandbox through its built-in OpenSandbox provider.

🌐 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.

🧠 Training and Evaluation

• harbor-evaluation - Run a Harbor agent evaluation on OpenSandbox, one sandbox per trial.

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 lifecycle, command execution, and file operations

• 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