Infrastructure for Multi-Agent Systems

AI agents are evolving from singlethreaded loops into distributed workflows that fan out many sub aent calls in a single run. These multi-agent systems are useful for everything from long-running workflows to agentic map produce jobs where hundreds of thousands of sub aents apply human level judgment to filter and search through large amounts of data in parallel. These systems are difficult to build.They require solving traditional distributed systems problems to ensure high throughput and reliability while ...