Snapshot-and-fork sandboxes for AI agents — names the category's key differentiator.
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Sandbox forking is the ability to snapshot a running, isolated execution environment — filesystem, memory, and process state — and branch it into independent copies. For AI agents this enables exploring multiple solution paths in parallel from a shared checkpoint, cheap rollback after destructive actions, and reproducible replay of a failed run. Fork/snapshot speed is emerging as the main technical differentiator among agent sandbox providers and a required primitive for reinforcement-learning environment infrastructure.