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Agent Sandbox

Secure runtime for AI code, preventing system compromise and data loss.

AI Code Tools
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Agent Sandbox is an AI Code tool. Secure runtime for AI code, preventing system compromise and data loss. Key features include Secure Code Execution Environment, Automatic Dependency Installation, and File and Artifact Management. Best for software developers and engineers, data scientists and analysts and scientists and researchers.

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About Agent Sandbox

Agent Sandbox offers a safe, isolated platform for running untrusted code from AI agents and large language models. It stops AI-generated code from harming systems or data. This tool is vital for businesses using AI coding agents, making sure they can operate securely. It protects your infrastructure while letting your AI tools work effectively.

Key Features

Secure Code Execution Environment.

Agent Sandbox creates a safe, isolated space for AI agents. They can run code in languages like Python and Bash there. This space protects your main system from any risks. Agents write code, the sandbox runs it separately, and then cleans up. This way, agents can work autonomously without you worrying about security.

Automatic Dependency Installation.

The platform figures out what libraries and tools an agent needs. Then, it installs them reliably and handles any version problems. If an agent's code needs a package that isn't there, the sandbox automatically installs it. This saves agents from failing due to missing parts and prevents them from trying risky workarounds.

File and Artifact Management.

Agent Sandbox helps with all your data files. You can upload files like CSVs or JSONs. Agents then process these files in their isolated environment. All the results, like charts or reports, are available for download. The platform also automatically cleans up files once they're no longer needed.

Observability and Execution Tracing.

The platform keeps detailed logs of everything an agent does. It records execution steps, API calls, tool usage, and what resources were accessed. Every action, whether allowed or blocked, is logged. This lets security teams see agent behavior. It helps them spot security threats and unusual activities in real-time.

Integration with Leading AI Frameworks.

Agent Sandbox works smoothly with

Frequently Asked Questions

Agent Sandbox is a trusted environment where AI agents and large language models can safely run untrusted code. It solves a big problem in AI by letting AI-generated code run in isolated spaces to protect your systems and data.

It acts as a go-between for AI-generated code and your systems. When an AI agent wants to execute code, Agent Sandbox puts it into a secure, contained environment. It treats all code as possibly unsafe until proven otherwise. It then runs the code, captures the results, and makes sure nothing harmful happened before sending results back to the AI.

Agent Sandbox uses a few layers of security. Its main method is Firecracker microVMs, which offer hardware-level isolation. Each sandbox gets its own tiny virtual machine, separate from the main system. This helps prevent kernel-level attacks. It also uses network controls to block unwanted connections and filesystem isolation to limit what files AI agents can access.

Agent Sandbox offers six key features: secure code execution, automatic installation of dependencies for AI agents, tools for managing files and artifacts, detailed logs to track everything the agent does, easy integration with popular AI frameworks, and controls for managing resources like CPU and memory.

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