Sandbox

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sandbox is an AI Agents & Automation tool that provides an all-in-one sandbox environment for AI agents. It combines a browser, shell, file system, MCP, and VSCode server in a single Docker container.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is sandbox?

AIO Sandbox is a comprehensive, all-in-one agent sandbox environment designed for AI agents and developers. It integrates a browser, shell, file system, Model Context Protocol (MCP) operations, and a VSCode Server within a single Docker container. This unified setup addresses the challenges of traditional single-purpose sandboxes by offering a shared filesystem, multiple interfaces like VNC, VSCode, Jupyter, and Terminal, and secure execution for Python and Node.js. The tool is agent-ready with MCP-compatible APIs, enabling seamless integration for AI agent development and testing. It also features zero configuration, providing pre-configured MCP servers and development tools out-of-the-box.

Best used for

Ideal for developers and data scientists who need to build, test, and deploy AI agents in a controlled environment, integrate various development tools, and perform browser automation. Especially valuable for creating complex agent workflows requiring seamless interaction between different components.

Common actions

develop AI agents

test AI agents

automate browser tasks

execute code in sandbox

manage files in environment

open-sourcecollaborationlow-code/no-codeautomated workflowdeepfakeworkflowsgithub copilot"AI Agents"face swapping

Capabilities

Key features

Unified file system
Browser automation
VSCode Server integration
Jupyter Notebook support
Terminal access
MCP integration
Secure execution

Target Audience

developerdata scientiststartup founder

Integrations

langchainopenaiminimax

Pricing & Plans

Open Source

Free

FAQs

What components are included in the AIO Sandbox?

The AIO Sandbox integrates a browser, shell, file system, Model Context Protocol (MCP) operations, and a VSCode Server. All these components run within a single Docker container, providing a unified and comprehensive environment for AI agent development and testing.

How does AIO Sandbox facilitate AI agent development?

It provides MCP-compatible APIs for seamless AI agent integration, allowing agents to interact with the browser, file system, and shell. The unified environment simplifies complex workflows, enabling agents to perform tasks like web automation, code execution, and file manipulation efficiently.

Can I use AIO Sandbox with popular AI frameworks?

Yes, AIO Sandbox offers integration examples for popular AI frameworks and libraries. It provides clear guidance and code snippets for integrating with tools like LangChain, OpenAI Assistants, and MiniMax, making it versatile for various AI development needs.

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