This report provides a detailed analysis of the technological foundation, application scenarios, challenges, and future development trends of AI Agents. As the core of the future intelligent economic system, AI Agents are expected to experience explosive growth by 2025. AI Agents possess autonomy, environmental awareness, and goal-oriented capabilities, allowing them to make independent decisions and dynamically adjust in complex environments. Their core technologies include machine learning, reinforcement learning, natural language processing, blockchain, and smart contracts. AI Agents show strong potential in the fields of finance, Web3 ecosystem, automated services, and gaming. Business models encompass tokenomics, data economy, and infrastructure services. Challenges include technological bottlenecks, data privacy, and legal responsibilities. Future development directions include cross-chain collaboration, swarm computing, and the integration of agents with the Internet of Things and social networks. AI Agents will become a key driving force for social transformation, and despite facing challenges, their potential revolutionary impact cannot be ignored.