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 — 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 — process-isolated, framework-agnostic, attachable to the tools you already use.
Prove
Every message witnessed, every consumption receipted. When someone asks “what did the agents do and who approved it?” — you answer with evidence, not vibes.
An agent asked to delete something. Here’s the receipt.
Real output from a FleetOpus run: a 3-agent fleet merges some notes, and one agent requests a destructive delete. The call blocks until a quorum of its peers ratifies it on the witness bus — then the trail answers who saw it, who approved it, and why.
Silence times out to deny. Self-votes don’t count. Nothing outside the whitelist runs. Every line above is a receipted message you can replay.
Built from operational history, not a whiteboard. The coordination design behind FleetOpus ran a 10+ agent fleet in production for 40 days — 18,404 messages, quorum-ratified decisions, and self-retraction chains, all on the record.