One person commanding a fleet of agents is the new unit of leverage. We are building the operating system for that future — and for the robotic fleets that will follow.
Agent capability has crossed the orchestration threshold. The bottleneck is no longer raw generation. It is human direction.
The most advanced users are already running many agents at once across multiple projects. They need infrastructure built for that reality.
The winning architecture — local execution plus remote command — is now visible. We are building the most refined version of it.
Open and local models are converging on frontier capability. Whoever controls the orchestration layer will be neutral to model choice.
The same control patterns transfer to physical robotics. The market has not yet appreciated this.
A web command center coordinates fleets of AI agents across projects. A native Fleet Runner desktop app — same React tree as the web, plus tray and OS notifications — runs them directly in the operator's terminal environment via Zellij. Per-project autonomy controls, reliable handoff systems, queue management, and truthful status surfaces are live and in daily use. Multi-OS installers (Linux, macOS, Windows) ship from a single CI matrix on every release tag.
We are raising to productize the local fleet runner, harden the remote control plane, expand open-model support, and lay groundwork for robotic orchestration.