Your agent never sleeps. Neither should its machine.
Always-on internet. Always-on power. Persistent state. RainDrop keeps long-running agentic flows alive through closed laptops, dropped Wi‑Fi, and overnight runs—so your agent picks up exactly where it left off instead of burning tokens rebuilding context it already had.
Always-on cloud workstations starting at $15/month — and only running when you need it.
Not because the model wasn’t smart enough. Because the machine underneath it fell asleep, lost the network, or forgot everything it was doing.
Close the lid, hit a battery limit, take a flight—and a four-hour agent run ends at minute forty. A RainDrop stays powered on in the cloud, so the work keeps going while your device does not.
Agentic flows are thousands of API calls, installs, and fetches in a row. One flaky hotel network breaks the chain. RainDrop workstations sit on enterprise-grade cloud connectivity that does not blink.
Restarting means re-explaining the goal and re-reading the whole codebase. You pay twice for context the agent already had. Keep the machine alive and you stop paying the restart tax.
Everything a long-running AI agent needs to keep working without you watching it—and without you paying for the same context twice.
The workstation runs on cloud infrastructure, not your battery. Overnight builds, multi-hour refactors, and scheduled agent jobs finish while you sleep.
Uninterrupted, high-throughput connectivity for model API calls, package installs, repo syncs, and browser automation—no tethering to your home network.
The disk, the working tree, and the session survive disconnects. Your agent resumes from live state instead of re-reading everything to rebuild what it already knew.
Reconnect from any device to the same live workstation. Logs, terminals, open files, and artifacts are exactly where the agent left them—no guessing, no reconstruction.
Give every agent its own workstation with dedicated CPU and RAM—never shared, never throttled. Parallel runs stay isolated and can’t stomp on each other’s files.
Autonomous agents get a blast radius, not your laptop. Every workstation is isolated, encrypted end-to-end, MFA-protected, and automatically patched.
Always-on doesn’t mean always-billed. Run the workstation for the agent’s run, then shut it down—the environment waits for you, the meter doesn’t.
Run around the clock for a long agentic job, or on-demand for a short one. On-demand and office-hours schedules cut the monthly rate substantially.
Scale a workstation up for a heavy training or build day and back down the next. Upgrade or downgrade mid-month and pay only for the power you actually use each day.
Configure one agent environment, save it as a reusable Role, and duplicate it across your fleet in seconds. New agents start ready—no setup run, no wasted tokens.
A full Windows or Linux workstation in the cloud. Install any agent framework, coding agent, CLI, or browser-automation stack exactly as you would locally—then let it run.
The questions teams ask before moving their agentic workloads off a laptop.
An always-on cloud workstation is a dedicated cloud computer that stays powered on and connected to the internet independently of your laptop. Your AI agent runs on that machine instead of your local device, so its work continues when you close the lid, lose Wi‑Fi, or walk away for the night.
Agentic workflows are long-running loops of API calls, tool use, installs, and file edits. A single dropped connection or a sleeping laptop kills the loop mid-run. RainDrop workstations run on enterprise-grade cloud infrastructure with persistent power and network, so a multi-hour or overnight agent run finishes instead of dying halfway through.
Most token waste comes from restarts. When a run dies, you re-explain the goal, the agent re-reads the repo, and it rebuilds context it already had. Because a RainDrop keeps the machine, the disk, the working files, and the session alive, the agent resumes from where it stopped instead of paying for the same context twice.
Yes. Spin up a separate RainDrop for each agent so parallel runs get dedicated CPU and RAM and cannot corrupt each other’s working directories. Configure one workstation the way you like it, save it as a reusable Role, and duplicate that environment across your whole agent fleet in seconds.
No. The workstation runs in the cloud, not on your device. You can disconnect entirely, close your laptop, and reconnect later from Windows, Mac, or Android to the same live session and see exactly what the agent did while you were gone.
Yes. On-demand scheduling means the workstation runs only while you need it, and you can upgrade or downgrade the power mid-month and pay only for the power you use each day. See the full pricing details for on-demand and office-hours discounts.
A RainDrop is a full Windows or Linux workstation, so any agent framework, coding agent, CLI, browser-automation stack, or scheduled script that runs on those operating systems runs on RainDrop. You install and configure it exactly as you would on a local machine.
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