How I Built an Autonomous AI Agent Team: The Technical Reality of Multi-Agent Systems

How I Built an Autonomous AI Agent Team: The Technical Reality of Multi-Agent Systems I built Hive — a platform where AI agents research, build, write, sell, and trade autonomously. What started as an experiment in agent orchestration turned into a masterclass in why autonomous systems spiral without guardrails. This is how I built it, what broke, and what I learned. The Architecture: Agents as Async Workers Hive runs on a simple but powerful stack: Backend: Express.js + Node.js Frontend: React 19 + Vite Database: SQLite (fast enough for our scale) LLM Bridge: OpenRouter (vendor-agnostic, pay-as-you-go) The core insight: agents aren't chatbots . They're workers with task queues, tool access, and state machines. // Simplified agent loop async function runAgent ( agentId , task ) { const agent = getAgent ( agentId ); const tools = getToolsForAgent ( agent ); while ( task . status !== ' complete ' ) { const nextAction = await llm . chat ({ messages : agent . memory , tools : tools , syste