Agent OS is a free training program from AIDB, introduced by Nufar Gaspar, designed to help users build a personal agentic operating system that persists across tools, models, and harnesses. The core argument: as every agent platform converges on identical capabilities, the underlying system you construct is the only real differentiator.
Gaspar structures the framework across seven layers, using a chief of staff as the concrete working example throughout. That framing is deliberate. It forces abstract agentic concepts into operational, role-based decisions, which is where most practitioners actually get stuck.
The full episode is worth watching not for the conclusion but for the layer-by-layer breakdown, which gives you a reusable architecture rather than a one-off workflow. Sign up for the program at aidbagentos.ai.
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