OpenSandbox

Free

Secure, Fast, and Extensible Sandbox runtime for AI agents.

AI ChatbotsFreeFree tier

Type

Open Source

Company

Alibaba Group

Visit Website GitHub (10.4k stars)

About OpenSandbox

OpenSandbox is a universal sandbox infrastructure for AI applications, enabling secure execution of commands, code interpreters, browsers, and developer tools in isolated environments. It provides multi-language SDKs (Python, Java/Kotlin, JavaScript/TypeScript, C#/.NET, Go) and supports sandbox lifecycle management including provisioning, monitoring, renewing, pausing, resuming, and terminating instances via Docker and Kubernetes runtimes. Built for AI workloads such as coding agents, browser automation, remote development, and AI code execution, it offers in-sandbox execution with shell commands, file management, multi-language code interpreters, port exposure, and log/metrics streaming.

Key Features

Sandbox Lifecycle Management: Provision, monitor, renew, pause/resume, and terminate sandbox instances with Docker and Kubernetes runtimes

Multi-Language SDKs: Python, Java/Kotlin, JavaScript/TypeScript, C#/.NET, and Go

In-Sandbox Execution: Shell commands, file management, code interpreters, port exposure, and log/metrics streaming

Built for AI Workloads: Supports coding agents, browser automation, remote development, code execution, and reinforcement learning

Listed in the CNCF Landscape

Pros & Cons

Pros

Secure isolation for executing untrusted code and browser automation
Extensible with Docker and Kubernetes for scalable sandbox management
Multi-language SDK support covering popular programming languages
Open-source and listed in the CNCF Landscape

Best For

Coding Agents: Run Claude Code, Gemini CLI, Codex, and other coding agents in isolated sandboxesBrowser Automation: Execute Chrome and Playwright workloads with controlled runtime, filesystem, and networkingRemote Development: Host VS Code Web and desktop-like environments for secure cloud development workflowsAI Code Execution: Run model-generated code safely, stream outputs, and iterate quickly with reproducible environments

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