Recently, @TheoriqAI's AlphaSwarm protocol has gained significant attention, with the key breakthrough being the redefinition of the interaction method for AI agents—from tools to cognitive partners.

Traditional AI can only passively execute instructions, while AlphaSwarm's agents possess dynamic learning and reasoning capabilities, allowing them to understand user intentions and autonomously optimize strategies.

The key innovation is the agent collaboration mechanism: each agent is both an independent individual and a part of collective intelligence, and they can flexibly team up and collaborate with each other.

In terms of technical architecture, AlphaSwarm addresses three core challenges: the cross-scenario migration of proxy memory, decentralized knowledge verification, and deep coupling with on-chain systems. These underlying breakthroughs enable AI to truly possess the ability to think, rather than merely automate.

Compared to the AI projects that hype concepts in the market, AlphaSwarm has directly conquered the market with practical applications, while Theoriq is changing the landscape of AI and altering the way participants engage in traditional DeFi.
@KaitoAI #Theoriq