Originally published on AIdeazz — cross-posted here with canonical link. Most multi-agent AI system discussions focus on architecture diagrams and theoretical capabilities. Let me show you what actually happens when you run production agents on Oracle's Always Free tier, manage them with systemd and PM2, and route between Groq and Claude APIs while keeping infrastructure costs at zero. The Zero-Dollar Infrastructure Stack Oracle's Always Free tier gives you 4 ARM cores and 24GB RAM split across compute instances. That's enough for a multi-agent AI system if you understand the constraints. My current setup runs five distinct agents: WhatsApp customer service bot (Node.js, 120MB RAM) Telegram automation assistant (Python, 180MB RAM) Email classifier and router (Node.js, 90MB RAM) Document processor with OCR pipeline (Python, 400MB RAM) Orchestrator managing agent communication (Node.js, 150MB RAM) Each agent runs as a systemd service with PM2 handling process management inside containers.…