Get Started with AI Agent Sandboxes for Free on Upstash Box

Upstash Box provides isolated Docker-based sandboxes, called boxes, where AI agents can safely run generated code, manage files, install packages, access a shell, and optionally use network connectivity without affecting a user’s local machine or other users’ environments. The guide explains how these sandboxes support applications such as executing LLM-written scripts, persistent per-user agent servers, coding agents that modify repositories, parallel tasks, browser automation, and model benchmarking, while emphasizing that credentials and network access must be restricted because sandbox isolation cannot reverse external API calls or leaked secrets. It demonstrates creating a free account, configuring the Node.js or Python SDK, launching boxes, executing commands, handling failed exit codes, writing and reading files, setting timeouts for generated code, and running coding agents such as Claude Code. Boxes can be paused to save compute while retaining files, snapshotted and restored to reuse environments, or deleted for cleanup, with ephemeral boxes available for short-lived command and file tasks. The free tier includes up to 10 concurrent boxes, 5 monthly CPU hours, 2 vCPUs, 4 GB memory, 5 GB storage per box, and a limited built-in agent-token budget, while paid plans offer higher capacity, longer or no idle shutdowns, and either usage-based or fixed monthly pricing for continuously available services.

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