Anonymous builderabout 2 months agoJudging locked: Self-Evolving Agents Hackathon

Plato Autopilot

Resturant agentic system

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Start with the source code, then open the demo or video if available.

View GitHub repository
Project description
Plato Autopilot — A Governed Team of AI Restaurant OperatorsPlato Autopilot is a multi-agent restaurant management system that turns live operational data into measurable business improvements. A General Manager agent coordinates specialized agents for inventory, menu optimization, revenue, kitchen operations, and purchasing. Each agent has its own expertise, data access, and tools, with identities, permissions, and activity governed through Guild AI. Together, the agents identify high-impact opportunities, propose measurable goals, and safely execute approved actions—such as promoting specific menu items, allocating expiring inventory, adjusting kitchen preparation, or drafting supplier-order changes. Plato then measures the results against independent demand, updates restaurant records in real time, and learns from both successful and failed experiments. It is an auditable, continuously improving team of AI operators that closes the loop: Observe → collaborate → govern → execute → measure → learn.
Tools used
  • Guild.ai
  • Pioneer
  • Replay.io