In the new wave of AI and Web3 integration, two types of decentralized Agent solutions are gradually emerging.

One type focuses on practical application-oriented execution solutions. Airaa Agent is dedicated to building truly executable AI labor infrastructure, directly mapping AI computational power and agent collaboration onto the chain, with an emphasis on creating settlement layers and collaboration protocols between Agents. This approach emphasizes practicality—enabling AI Agents not only to think but also to interact and settle directly on the chain.

The other type leans towards modularity and theoretical innovation. Theoriq AI adopts a compositional technical architecture, allowing the emergence of collective intelligence effects through flexible assembly of different Agent modules, resembling a scalable protocol layer framework. This route is more research-oriented, exploring how modular design can enable multiple AI systems to collaborate organically.

Both directions are trying to answer the same question: how to make AI in the Web3 ecosystem not just a tool, but a truly autonomous participant with economic engagement capabilities.