Route
Every model call through one local-first router — tiers, fallbacks, and cost control across 19+ models. No cloud dependency, no lock-in.
The control plane for AI agent fleets
Teams past the demo stage hand-roll 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 — and writes a witnessed receipt for every action.
Route it. Run it. Prove it.
witness ledger · awaiting gated actions…
Every model call through one local-first router — tiers, fallbacks, and cost control across 19+ models. No cloud dependency, no lock-in.
Spawn and coordinate agent fleets with quorum decisions and per-recipient receipts — process-isolated, framework-agnostic, attachable to the tools you already use.
Every message witnessed, every consumption receipted. When someone asks “what did the agents do and who approved it?” — you answer with evidence, not vibes.
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.

Provenance
The coordination design behind FleetOpus ran a 10+ agent fleet in production for 40 days — quorum-ratified decisions, self-retraction chains, all on the record.