FleetOpus

The control plane for AI agent fleets.

Teams past the demo stage end up hand-rolling the same four things: model routing, fleet coordination, an audit trail, and a durable record of every session. FleetOpus fuses them into one operable surface.

Route it. Run it. Prove it.

Early access, in build order. One email, no spam.

Route

Every model call through one local-first router β€” tiers, fallbacks, and cost control across 19+ models. No cloud dependency, no lock-in.

Run

Spawn and coordinate agent fleets with quorum decisions and per-recipient receipts β€” process-isolated, framework-agnostic, attachable to the tools you already use.

Prove

Every message witnessed, every consumption receipted. When someone asks β€œwhat did the agents do and who approved it?” β€” you answer with evidence, not vibes.

Built from operational history, not a whiteboard. The coordination design behind FleetOpus ran a 10+ agent fleet in production for 40 days β€” 18,404 messages, quorum-ratified decisions, and self-retraction chains, all on the record.