An all-inclusive sandbox environment for AI Agents, integrating a browser, Shell, file manager, MCP, and VSCode server into a single Docker container.
sandbox is a multi-functional sandbox environment designed specifically for AI Agents. It integrates a browser, Shell, file system access, microcontroller platform (MCP), and a VSCode server into a single Docker container, providing developers with a powerful development and testing platform. Through this sandbox, developers can easily test and deploy AI applications without worrying about environment configuration issues.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"url": "https://agentsignals.ai/agents/sandbox",
"applicationCategory": "开发工具",
"operatingSystem": "GitHub",
"sameAs": "https://github.com/agent-infra/sandbox",
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"datePublished": "2025-12-05T17:13:23.053363+00:00",
"dateModified": "2025-12-19T05:10:09.960435+00:00",
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"text": "An all-inclusive sandbox environment for AI Agents, integrating a browser, Shell, file manager, MCP, and VSCode server into a single Docker container."
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"name": "What features does sandbox offer?",
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"text": "Integrated browser, shell, file manager, MCP, and VSCode server, Single-container deployment based on Docker, Suitable for various development and testing scenarios"
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"name": "What are the use cases for sandbox?",
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"text": "Rapid AI app development and testing, Debug code in multiple environments, Secure isolated development environment"
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"text": "集成多种开发工具,提高开发效率, 基于 Docker,易于部署和管理, 提供安全的隔离环境"
}
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"@type": "Question",
"name": "What are the limitations of sandbox?",
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"text": "可能需要较高的系统资源, 初学者可能需要时间熟悉各组件的使用"
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