A Million Agents Is a Distributed Systems Problem
Summary
The piece argues that managing a large fleet of AI agents is a distributed systems problem. It highlights research showing that more agents can boost parallelism for some tasks but degrade performance for sequential tasks, and that centralized orchestration can reduce error amplification. The article emphasizes durable state, scheduling, and coordination patterns (OS-like agents, AIOS, LLM-as-Scheduler) as essential to scaling agent-driven workflows.