Emerging AI Agent Trends: Practical Frameworks Over Conceptual Narratives

According to PANews, the next wave of AI Agent development is expected to be driven by practical frameworks such as MCP and A2A, rather than conceptual narratives. The challenges faced by web3 AI Agents stem from excessive conceptualization, where grand visions of decentralized platforms and user data sovereignty overshadow practical user experiences. This has led to a reluctance among retail investors to support ambitious yet unfulfilled expectations. In contrast, web2 AI protocols like MCP and A2A have gained traction due to their tangible practicality. MCP functions like a USB-C interface in the AI world, enabling seamless connections between AI models and various data sources and tools. Numerous practical applications of MCP have emerged, such as using Claude to control Blender for 3D modeling, generating complete Figma design files through natural language, and programmers utilizing Cursor for comprehensive coding and Git submissions. Initially, web3 AI Agents were anticipated to innovate within DeFai and GameFai verticals, but many applications remain at the 'showcase' level of natural language processing interfaces, lacking practical utility. By combining MCP and A2A, more robust multi-agent collaboration systems can be developed, allowing specialized agents to handle complex tasks. For instance, analysis agents can read on-chain data and analyze market trends, while prediction and risk management agents collaborate to execute tasks previously handled by single agents. Successful MCP applications provide a model for the emergence of new web3 trading and gaming agents. The hybrid framework standards based on MCP and A2A offer advantages in user-friendliness and application deployment speed for web2 users. The focus now is on integrating web3 value capture and incentive mechanisms with DeFai and GameFai application scenarios. Projects that continue to adhere strictly to web3 conceptualism without embracing web2 practicality risk missing out on the upcoming AI Agent trend. In summary, the forthcoming AI Agent trend is brewing, but it will rely on practicality and application deployment rather than past narrative-driven concept promotion.