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

Your AI agent is powerful. It can read files, write code, send emails, deploy services, and manage infrastructure. It can also break everything it touches. We know because it happened to us. Repeatedly. What We Built The Nervous System is an open-source AI governance framework. It enforces behavioral rules on LLM agents through mechanical systems - not prompts, not fine-tuning, not hope. It runs as an MCP (Model Context Protocol) server that any compatible client can connect