AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition

In three linesAgentSpec is a modular framework decomposing LLM agents into reusable components (perception, memory, reasoning, reflection, action, learning). Authors evaluate module interactions across DeliveryBench, ALFRED, MiniGrid, and RoboTHOR, showing agent performance depends on scaffold compatibility and interaction effects rather than isolated module strength.

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