Multiplayer OS for humans, agents, and robots
Human
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decision rationale
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Introducing
Field software records work after it happens. A crew photographs what they built, types it into a form at the end of the shift, and the office reconciles the paperwork days later — by which time the truck has left and the closure is sealed.
OMNISENSORIUM holds the model while the work is happening. Sensors on the technician, the drone, and the robot stream into one shared world model. The system compares what it sees against the procedure, raises the deviation, issues a command to whoever can act on it, waits for evidence that the fix happened, and writes the as-built record as a consequence of the work rather than a report about it. You work; it verifies.
Foundations
Full context, built to scale across a whole operation
- Versioned world model
- The event log is the source of truth and the world model is a pure fold over it. Any moment in a session replays exactly, because state is never stored, only derived.
- One harness for every participant
- Humans, agents, robots, and drones are one abstraction with four command surfaces. Adding a participant — a wearable, a survey drone, an inspection crawler — is configuration, not a new code path.
- Procedure engine
- Ordered steps, each declaring the evidence it requires. A step closes only when verification passes on sensor data — never on a self-report, never on a timer.
Human
HUMAN-01 has not joined
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world model empty
decision rationale
no decisions yet
nothing spoken yet
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Features
What you can do with OMNISENSORIUM
Human
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log empty · press play
world model empty
decision rationale
no decisions yet
nothing spoken yet
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Changelog
Shipped, in the open
- Telecom vertical recognises a real join, verified twice
- Half-duplex voice — the microphone yields while the system speaks
- ElevenLabs Flash as the primary voice — the exchange turns conversational
- Real northern-California basemap under the estate map
- Telecom estate: map, dispatch, guided fix, verified
- Light design system and H / R / D participant views
- Event-sourced core, deterministic simulation, and evals