Band of Agents Hackathon · Track 1 · athenarocks
Orizon Fleet Coordinator is a deployment desk for our AMR fleet. Four agents — each a different framework, each a different open-source model on Featherless — coordinate in Band until the fleet config is safe enough to launch.
The problem
We build AMRs and sell them B2B — clients buy fleets, not single units. Every factory has a different layout, size, and robot series. Today that handover is manual, step by step, and mistakes happen.
What we built
Our engineer, on site, triggers a deployment. Four agents join a Band room, share structured JSON artifacts, and run a safety veto loop until ISO 3691-4 checks pass. A human approves the final package before Day 1.
Same product. Different floor every time. We're replacing the manual handover with a coordination room.
Four agents
Cross-framework collaboration through Band — LangGraph, CrewAI, PydanticAI, and AnthropicAdapter on Featherless open-source models.
Parses factory specs, flags Wi-Fi dead zones and ramp margins
Robot selection, zone assignment, charging rotation
ISO 3691-4 checklist — holds veto authority
Packages the deployment timeline and audit hash
The workflow
Site Assessor reads the factory spec and produces structured infrastructure flags.
Fleet Configurator picks robots from catalog, assigns zones and waypoints.
Safety Reviewer runs ISO checks. Can veto and send the thread back.
Launch Coordinator ships the package. Ops Manager approves go-live.
Demo scenario
First pass — veto
Site Assessor flags a Wi-Fi dead zone in Zone C. Fleet Configurator assigns 8× HeavyLift-X200. Safety Reviewer vetoes: robots in Zone C lose WMS connectivity — collision risk, no e-stop in the dead zone.
After revision — pass
Site Assessor adds a Wi-Fi 6 AP on column C-NE-7. Coverage goes from 95% to 99.2%. Safety Reviewer passes all ISO checks. Launch Coordinator packages a 3-day deployment timeline.
5–15 day manual process → ~10 minute coordinated agent session. The veto loop is the demo.
Fleet ops mode
Switch to Fleet Ops in the dashboard. Drop a robot's battery below 20%, toggle an obstacle, change its zone — and watch the fleet coordinate in the chat room, powered by Featherless inference.
Open fleet simulatorWhy this exists
I'm working toward Orizon Robotics — custom AMRs with FOC-controlled actuators. This project is a working prototype: a training exercise and mental model for how I want client deployments to flow — assess, configure, veto, launch — before the hardware is ready. I'm building the muscle memory now so the real ops layer is smoother later.
Full 8-step workflow: assess → configure → veto → revise → pass → package → approve.
Launch demo