Render adds Sandboxes, Workflows, and Shared Filesystems for running agents inside production apps

Render announced on November 4 three new pieces for running AI agents inside production apps. Render Sandboxes, in public beta, give each agent its own isolated Linux microVM that starts in under a second, suspends when idle, wakes with its files and memory intact, and bills for CPU actually used. Credential brokering, in private beta, keeps secrets out of the sandbox. Render Workflows, now generally available, runs multi-step agent tasks written in Python or TypeScript with queuing, retries, and saved step results. Tasks can run for up to 24 hours on up to 8 CPUs and 32 GB of RAM, billed per second. Shared Filesystems, in early access, let many sandboxes mount the same repository, dataset, or memory store.

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