In an effort to challenge Big Tech's dominance in the field of artificial intelligence, the AI agent protocol Thinkagents.ai has recently introduced a groundbreaking open-source framework for constructing onchain agents that function independently across decentralized networks. Unlike conventional systems that often limit data ownership and platform capabilities for users, Thinkagents.ai is pioneering an interoperable ecosystem that is owned and controlled by its users.

Mike Anderson, a core contributor at THINK, envisions the Think Agent Standard as the future of AI. He and his team have devised this standard to facilitate the interaction and communication of millions of autonomous onchain AI agents. The protocol has already garnered support from over 70 companies, including prominent names like Arbitrum and Yuga Labs, who are collaborating to enhance the platform.

The Think Agent Standard is now live, enabling developers, enterprises, and Web3 communities to explore and experiment with the framework. Anderson highlighted the importance of standardizing demand in AI to align the market around a common goal, making it more accessible and cost-effective for developers to create AI solutions that cater to customer needs.

The development of the Think Agent Standard was initiated by the THINK protocol in partnership with the Independent AI Institute. An early use case involved AI agents playing the video game Street Fighter 3 against each other, attracting significant interest and collaboration from different companies. This experiment demonstrated the potential to unite infrastructure companies, offer superior products to customers, and empower users to retain control over their information and data.

Looking ahead, the Think Agent Standard aims to revolutionize the AI landscape by introducing a modular, permissionless, and composable system that allows AI agents to function as self-governing digital entities. Each Think agent is fueled by Non-Fungible Intelligence™ (NFI), a digital identity layer that establishes ownership, memory, and authentication. This innovative approach paves the way for AI agents to interact seamlessly across various blockchains and platforms.

One of the first platforms built on the Think Agent Standard is SOULS, a personal AI agent that users can own, train, and customize. By connecting to a myriad of open-source applications and evolving over time with the best available intelligence, SOULS prioritizes user privacy and ownership. Major players in the gaming, infrastructure, and generative AI sectors, such as Yuga Labs, Futureverse, and Alchemy, are actively integrating the standard into their applications, underscoring its versatility and potential across diverse use cases.

Anderson believes that AI agents represent the future interface to technology, allowing users

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