OpenSandbox: The Ultimate Sandbox Platform for AI Agents
Discover OpenSandbox — the secure, fast, and extensible sandbox platform for AI applications with Docker/Kubernetes runtimes, multi-language SDKs, and strong isolation.
What is OpenSandbox?
OpenSandbox is a general-purpose sandbox platform designed specifically for AI applications. With over 12,000 GitHub stars and 53,000+ Docker pulls, it has rapidly become the go-to solution for running AI workloads in secure, isolated environments.
Whether you're building coding agents, GUI agents, running RL training, or evaluating AI models, OpenSandbox provides the infrastructure you need — supporting Docker and Kubernetes runtimes with multi-language SDKs for Python, Java, JavaScript, Go, C#, and more.
🚀 Want to deploy OpenSandbox yourself?
Docker configs, system requirements, and installation guides — all on one page.
View OpenSandbox Tool Page →Key Features
🧩 Multi-Language SDKs & MCP Integration
OpenSandbox offers SDKs in Python (pip install opensandbox), Java, JavaScript/TypeScript, C#, and Go, plus a CLI tool and MCP server integration. This makes it incredibly easy to create sandboxes, execute commands, and manage files programmatically from any language.
📜 Sandbox Protocol
A well-defined protocol for sandbox lifecycle management APIs and execution APIs, allowing you to extend custom sandbox runtimes. This is the foundation that makes OpenSandbox truly extensible.
🚀 Docker & Kubernetes Runtimes
Built-in lifecycle management supports both Docker for local development and high-performance Kubernetes for large-scale distributed scheduling. The Kubernetes runtime enables you to scale from a single laptop to a cluster of hundreds of nodes.
🛡️ Strong Isolation
Supports secure container runtimes including gVisor, Kata Containers, and Firecracker microVM for enhanced isolation between sandbox workloads and the host system. This makes it suitable for running untrusted code from AI agents safely.
🔑 Credential Vault
Secure credential injection for sandbox outbound requests without exposing real secrets to workloads. A must-have for production AI agent systems.
🚦 Network Policy Controls
Unified ingress gateway with multiple routing strategies plus per-sandbox egress controls, giving you fine-grained control over network access.
Use Cases
| Use Case | Description |
|---|---|
| Coding Agents | Run Claude Code, Codex, and other AI coding agents in isolated sandboxes |
| GUI Agents | Browser automation with Chrome/Playwright in secure environments |
| Agent Evaluation | Test and benchmark AI agents in reproducible sandbox environments |
| AI Code Execution | Run user-generated code safely with full isolation |
| RL Training | Distributed reinforcement learning training environments |
🚀 Ready to get started with OpenSandbox?
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