Agents Are Going Async

The author argues that as AI agents take on larger goals, standard blocking ReAct loops fail to keep them both responsive to users and productive on multiple background tasks. To solve this, developers are adopting an asynchronous subagent architecture where an orchestrator stays available to users while background workers execute tasks in parallel. The article details how Deep Agents now implement this pattern using tools like start_async_task, check_async_task, and update_async_task. Open article →