AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition

AgentSpec is a newly introduced modular specification framework for embodied agents that allows for the controlled composition of reusable policy components with standardized interfaces across various tasks like DeliveryBench, ALFRED, MiniGrid, and RoboTHOR. It highlights that agent performance is influenced more by scaffold compatibility and interaction effects than by the strength of individual modules, demonstrating that structured multi-granularity memory enhances long-horizon state tracking and that the interaction of reasoning and memory varies across environments. This framework provides a systematic approach for practitioners to study, compare, and design composable LLM agents, facilitating improved modularity and performance optimization in agent development.