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Agents have their own computers with Sandboxes GA

Read the full articleAgents have their own computers with Sandboxes GA on Cloudflare

What Happened

Cloudflare Sandboxes give AI agents a persistent, isolated environment: a real computer with a shell, a filesystem, and background processes that starts on demand and picks up exactly where it left off.

Our Take

honestly? giving agents their own sandboxes makes sense. it stops them from just running wild on the main system. we're finally giving them a realistic environment, which is crucial when you're letting them execute code or run complex tasks. it’s about control, plain and simple, and that persistent environment stops the whole mess from escalating.

this isn't just some theoretical sandbox; it's a real filesystem and shell. that persistent state is what separates a toy script from an actual autonomous agent. we don't need these things running on our shared infrastructure, and that security isolation is non-negotiable when you're dealing with machine-generated code.

What To Do

start building agent workflows inside these isolated environments

Builder's Brief

Who

teams building multi-step AI agents that require shell access, file I/O, or long-running background processes

What changes

Persistent execution environments replace hacky stateful workarounds — agents can resume mid-task without re-scaffolding context

When

weeks

Watch for

Cloudflare Sandbox cold-start latency benchmarks from production users — determines viability for interactive agent loops

What Skeptics Say

Persistent sandboxes solve a real problem but add latency, cost, and operational surface area most agent workflows don't yet justify; Cloudflare's pricing model at scale may make stateful compute prohibitive compared to ephemeral patterns. E2B and Modal already occupy this space with established developer trust.

1 comment

K
Kemi Adeyinka

I've been hacking together something like this for 18 months. it just... exists now

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