Introducing Sailboxes: Persistent Sandboxes for Long-Horizon Cloud Agents

Sail Research has launched Sailboxes, a sandboxing platform designed for long-running AI agents that combines conventional sandbox APIs with durable-execution mechanisms intended to handle failures, preserve state, and support workloads lasting indefinitely. Sailboxes snapshot VM state, replay commands after failures with at-least-once semantics, offer checkpointing for nondeterministic operations, and proxy network traffic to support exactly-once handling of stateful network actions. The platform automatically pauses idle virtual machines and resumes them upon incoming traffic, charging users only for active CPU, memory, and disk usage rather than idle time, cold starts, or checkpointing. In a demonstration, four Sailboxes ran coding agents for a cumulative 110 hours to produce a Rust implementation compatible with Redis, consuming 64 active CPU hours and costing an estimated $3.65, compared with about $9.30 on Daytona, while several competing services were described as having runtime limits below the task duration. Sailboxes are generally available through Sail Research’s platform.

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