Maritime gives AI agents dedicated computers

Maritime targets the least glamorous—and most consequential—agent bottleneck: reliable, isolated runtime infrastructure. The dedicated-computer framing is compelling, but the platform’s real test will be wake latency, state durability, and production reliability at scale.

• –Persistent per-customer environments make agents feel more like deployable products than stateless API calls.
• –Micro-VM isolation and encrypted secrets provide a stronger multi-tenant story than ordinary shared workers.
• –Framework-agnostic Docker support reduces lock-in across OpenClaw, LangGraph, CrewAI, and custom stacks.
• –Sleep/wake economics could make large fleets affordable, though continuously active or compute-heavy agents will cost more.
• –Maritime is still early, so developers should validate cold-start behavior, observability, backup semantics, and operational guarantees before committing.