Recently, AI agents have become a hot topic, with discussions ranging from automated trading to smart assistants, as many are exploring whether AI can replace humans in decision-making. However, in the Web3 ecosystem, if AI indeed operates users' Wallets and manages assets in the future, a critical question cannot be avoided: how will these AI agents prove their identification and securely perform operations across different applications?

The identification and connection system proposed by WalletConnect may just provide the necessary infrastructure for AI agents. First, AI agents need a trusted identification. If AI agents are to sign transactions on behalf of users, they must first be recognized by the application as the user themselves. WalletConnect's decentralized identification (DID) and cross-application login mechanisms can provide a legitimate "identity shell" for AI agents, allowing them to carry the user's digital identity and switch seamlessly between various applications.

Secondly, the interaction method between AI agents and Wallets also needs to be redesigned. Traditional users operate Wallets by scanning codes and signing, but AI agents obviously cannot perform these physical actions. The protocolized connection of WalletConnect provides AI with a way to automate the management of signatures while still adhering to security constraints. For example, AI can operate autonomously within preset limit amounts and specific contract scopes, while users retain ultimate control.

This new type of identification verification and security operation mechanism not only addresses the identity issues of AI agents in the Web3 world but also paves the way for broader automation and intelligent applications in the future. However, it also brings new challenges, such as how to strike a balance between AI autonomy and user control, and how to ensure that the behavior of AI agents aligns with the user's intentions and interests.

With the continuous development of technology, we can foresee that the Web3 ecosystem will gradually adapt and integrate AI agents, providing users with a smarter and more convenient digital asset management experience. However, we also need to remain vigilant to ensure that the rights and data security of users are fully protected during this process.