LangChain | Agents Need Their Own Computer

Agents become significantly more useful when they can do more than generate text. Give them access to a filesystem, shell, package manager, network, and persistent state, and they can run code, inspect results, correct mistakes, and complete workflows end to end. But giving agents real execution power also introduces new security, isolation, and operational requirements. This guide explains how to provide agents with their own secure computing environments without exposing your infrastructure or slowing down development.

What You'll Learn

Why agents need a real execution environment to move beyond suggestions and complete tasks such as debugging code, analyzing data, and conducting research
Why local execution and standard containers are not enough for untrusted, model-generated code, and when machine-level isolation becomes necessary
The four capabilities every agent computer needs: safe execution, strong controls, full observability, and fast, reproducible iteration
How to manage credentials, resource limits, network access, lifecycle controls, audit logs, persistent state, snapshots, and parallel forks
When local or containerized execution is sufficient, when to use a managed sandbox, and what it takes to build a production sandbox platform yourself
How LangSmith Sandboxes provide isolated microVMs for coding, data analysis, and research agents while containing execution risk and supporting prompt-injection mitigations

Download the guide to learn how to give agents the tools they need to work autonomously while keeping execution isolated, observable, and under control.

Inside the Guide