Agents need their own computer. Here's how to give them one safely.

Agents equipped with their own computing environments are essential for performing tasks autonomously and securely, as traditional text-generating models lack the capability to execute and verify code, akin to a contractor without tools. By enabling agents to run code, access a filesystem, and maintain state across operations, they can independently complete tasks such as debugging, data analysis, and research. However, executing model-generated code raises security concerns, necessitating isolated, hardware-virtualized environments like sandboxes to compartmentalize execution and protect against potential threats. These sandboxes provide agents with the resources to execute tasks safely, observe and control operations, and iterate rapidly while maintaining separation from the host infrastructure. LangSmith Sandboxes, for instance, offer microVM isolation, fast provisioning, and persistent state, allowing agents to perform complex tasks without compromising system security or requiring extensive manual oversight. This approach supports use cases in coding, data analysis, and research by providing secure, scalable, and efficient environments for autonomous execution, thereby enhancing the utility and reliability of agents in various workflows.

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