Cloud agents are persistent, server-side AI processes that run autonomously without a local machine staying on. Rasmic demonstrates how he deploys them in production, using real tooling including Depot for containerized builds, and his own projects Pluto and Skills as live examples of what cloud-based agent architecture looks like in practice.
The core argument is about availability and scale. A local AI agent dies when your laptop closes. A cloud agent does not. That distinction changes what you can build, specifically long-running workflows, background task automation, and multi-step AI pipelines that operate outside the request-response cycle most developers are still stuck in.
The full video is worth watching for the implementation details, not the concept pitch. Rasmic walks through his actual setup, the GitHub repos are linked and public, and seeing how Pluto integrates with cloud agent infrastructure gives you a concrete starting point rather than another abstract framework overview.
[WATCH ON YOUTUBE →]