Building a Multi-Agent Voice Command Center: How We Scaled 8 AI Agents on Supabase Edge Functions and VAPI

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We just shipped the Quiet Hours Valet Command Center—a production voice automation platform handling 8 concurrent AI agents, 8 automation workflows, and real-time webhook processing through Supabase Edge Functions. This post breaks down the architecture we built: a 5-page frontend on Vercel, an 8-table Postgres schema for agent state management, Asterisk PBX integration with VAPI for voice orchestration, and the Edge Function patterns that let us route, scale, and persist multi-agent conversations without spinning up dedicated servers. If you're building voice AI products on a vertical integration stack, this is how we did it.