I built a self-hosted multi-agent AI platform – here's what I learned

Most AI agent platforms give you one assistant with access to everything. Your files, your APIs, your calendar – all in one process, no isolation, no guardrails. That bothered me enough to build something different. I'm an AI consultant and I've been running my own agentic setup for a while. This week I made it public: AI-Employee , a self-hosted platform for running teams of specialized AI agents. The core idea Instead of one mega-agent, you run a team. Each member has a specific role – Legal Assistant, Tax Advisor, DevOps Engineer, Marketing Manager. Each runs in its own Docker container. They have their own memory, their own workspace, their own tools, and their own rules. They can collaborate. They can hold meetings. They can ask you for approval before doing something sensitive. And they do all of this on your hardware, with your data never leaving your server. Architecture overview Browser / Mobile | Caddy / Traefik (TLS) | Orchestrator (FastAPI + Docker SDK + WebSocket) / | \ \