The Agent Loop Architecture

The blog article explores the concept of agent loop architecture, emphasizing its importance in AI systems by detailing its three fundamental layers: loops, skills, and orchestrators. It underscores the significance of durable orchestration, which ensures that agent loops can withstand failures, process restarts, and infrastructure changes without losing progress. The text explains how loops act as decision-makers triggered by schedules, skills represent durable workflows that enhance loop capabilities, and orchestrators manage the execution, retries, and deployment of these functions. The discussion highlights the necessity of observability and step-level checkpointing to maintain efficiency and reduce costs. It also presents a vision where AI agents are empowered to autonomously evolve by writing and deploying new functions, thereby enhancing their operational capabilities. The article concludes by advocating for the integration of durable execution primitives, suggesting that this approach is fundamental to developing resilient and adaptable AI systems.