The operating system for AI agents
Jarvis lets AI operate real software on screen, alongside humans — visible, interruptible, and governed.
The pebble follows your cursor. Move it.
A second cursor works right next to your mouse. Watch it fill the form below, then watch it stop at the payment and turn amber: it asks, you approve. Take over or hand it back anytime.
Most agents talk to software through APIs and MCP servers. That works for demos — but it fails the moment work needs judgment, visual context, legacy tools, or a correction mid-task.
The downstream effect: McKinsey finds over 60% of companies using generative AI report no material revenue or cost impact — because the infrastructure to plug agents into real work doesn't exist yet.
The MCP path treats the AI as a replacement for the user. The native path treats it as a coworker sitting next to you — that's what people keep paying for after the novelty wears off.
Every app Jarvis learns becomes one YAML template — targeting roles and ARIA, not screenshots, so it doesn't rot on the next UI refresh. Builders contribute templates; hosted users request and buy them. The marketplace turns software coverage into a revenue layer.
The pebble wears its state. Red hears you, white thinks, blue speaks, amber waits for your yes, and green is the job landing. Clear glass means nothing is happening, and that's a promise.
It splits big jobs across specialist subagents and runs them around the clock. You close the laptop; it keeps going.
No dashboard required for quick actions — change settings, start a workflow, check on a job, all by talking, right where your cursor is. The full dashboard is there when you need control.
Say "every weekday at 8, summarise my email" and it becomes a standing flow that runs itself from then on.
One brain, a lightweight sidecar on each machine, and the pebble follows you to whatever desk you sit down at, mid-task. Host the brain yourself or let us run it; the sidecar stays yours either way.
The native path is safer by construction: Jarvis works where you can see it, so mistakes are visible and you can step in mid-task.
Everyone enters the same way, then splits into one of three paths — or all three over time. The long tail of software can't be integrated one API at a time, so the community covers it.