Everyone assumes AI infrastructure is expensive. GPU clusters. Kubernetes. Enterprise cloud bills measured in thousands. We run 22 AI processes on a $12/month DigitalOcean VPS with 4GB RAM. Twelve AI family members, three MCP servers, process management, web serving, reverse proxy, and a full governance layer. It all runs on one box. Here is exactly how. The Architecture The stack has five layers: Layer 1: The Server One DigitalOcean droplet. 4GB RAM, 2 vCPUs, 80GB disk. Ubun

Most AI agent frameworks start with code. Ours starts with a conversation. I sit in one terminal. I talk to the LLM brain. When something needs to happen - a file edited, a service deployed, a batch of emails sent - we write a task file and dispatch an agent. The agent runs in the background. I keep talking to the brain about strategy, priorities, and what comes next. This is the Brain + Agents model. And it changes everything about how you work with AI. The Workflow Here is