Persistence beats ephemeral

Persistent, resumable, and forkable computing environments are presented as increasingly important for AI agents whose work has evolved from short, stateless requests into multi-hour or multi-day sessions involving code exploration, testing, debugging, and parallel experimentation. While ephemeral Firecracker-based sandboxes were well suited to earlier agent workloads because they were fast and disposable, repeatedly rebuilding environments now creates overhead and causes agents to lose valuable disk-based context such as dependencies, compiled artifacts, indexes, and partial progress. The passage cites Daytona’s pivot toward persistent agent sandboxes, Fly.io’s Sprites product, and E2B’s planned pause/resume capabilities as signs that the market is moving toward persistence. It argues that machines designed around persistence from the outset can preserve full running state, remain active or sleep indefinitely, resume quickly, and be cloned from existing memory, disk, and processes, while providers built on ephemeral infrastructure may need to retrofit these capabilities. Boxd positions its persistent-by-default platform alongside exe.dev and Sprites as suitable infrastructure for modern agent harnesses.

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