AI agent技术进展与展望OA

AI agents,as intelligent systems with autonomous perception,planning,memory,and decision-making capabili-ties,drive the transformation of artificial intelligence from passive response to autonomous intelligence.This paper systemati-cally reviewed the technological evolution and core competency framework of AI agents and compared representative large lan-guage model-based agent(LLM-agent)at different stages,analyzing their differences in strategic planning,execution logic,and result presentation.The study further explored emerging trends in multimodal perception,cross-modal cognitive fusion,and native agent models,highlighted the challenges these agents faced in privacy,data security,and responsibility allocation,and proposed a collaborative hierarchical governance framework that integrated technology,systems,and institutional measures.