ReCreate: Reasoning and Creating Domain Agents Driven by Experience

arXiv:2601.11100v2 Announce Type: replace Abstract: Large Language Model agents are reshaping the industrial landscape. However, most practical agents remain human-designed because tasks differ widely, making them labor-intensive to build. This situation poses a central question: can we automatically create and adapt domain agents in the wild? While several recent approaches have sought to automate agent creation, they typically treat agent generation as a black-box procedure and rely solely on