In 2025, the development of AI Agent in the field of encryption and Web3 is expected to usher in an important flashpoint. From the tool attributes of monolithic applications to the ecological construction of multi-agent collaboration, the boundaries of AI agent technology are constantly expanding. In the DeFi field, AI Agent has realized fund management and smart contract execution, and is expected to become an agent with autonomous economic capabilities in the future, participating in more complex economic activities and achieving economic autonomy. In DAOs, AI agents can optimize governance efficiency and decision-making processes, while in quantitative trading, efficient arbitrage and risk management strategies can be executed through real-time data analysis. With the improvement of frameworks and standards, the collaboration between AI agents will give rise to new application scenarios, such as agent social networks, economic settlement gateways, and governance DAOs, pushing the crypto ecosystem to a new stage of intelligence and efficiency. At the same time, the development of AI Agent in Web3 also faces challenges and opportunities. Privacy and security are key issues, especially in the context of AI's growing reliance on personal data. Web3 provides the unique advantage of ensuring data privacy and security through blockchain, enabling AI Agents to be widely used in industries with high privacy requirements, such as healthcare and finance. In addition, computing power and data costs are the bottlenecks faced by multi-agent collaboration, but through blockchain and token economy, idle computing power and data resources can be effectively integrated and the development and operation threshold can be lowered. Looking to the future, AI Agent has the potential to serve as a new type of infrastructure for Web3, deeply integrated with other core elements, create new application models, upgrade from a tool role to an indispensable ecological pillar, and inject more innovation and value into the crypto industry.