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A coalition of major cryptoentities has launched the Open Agents Alliance (OAA) at ETHDenver 2025 to rival ASI.
Author: Sahil Thakur
A coalition of major crypto and blockchain entities has launched the Open Agents Alliance (OAA) to deliver decentralized, open-source AI services. Announced at ETHDenver 2025, the initiative brings together NEAR AI, Coinbase Onramp & AgentKit, and multiple blockchain projects to create a shared infrastructure for AI development. The alliance aims to make AI services secure, transparent, and accessible to billions of internet users while integrating crypto-powered payments and privacy-preserving technologies.
“As the global web continues to shift toward mobile users, we believe AI must be accessible to everyone,” said Illia Polosukhin, Co-Founder of NEAR AI. He emphasized that the initiative extends beyond blockchain’s existing 350 million users, aiming to bring crypto-powered AI to over 5.5 billion people worldwide.
The OAA is designed to move away from traditional “pay-to-play” AI models by leveraging a mix of secure cloud hosting, permissionless computing, and agentic AI frameworks. Participants will contribute resources such as confidential computing environments (TEEs), decentralized storage, and on/off-ramps for fiat and crypto transactions.
Key alliance members include:
Several industry leaders shared their vision for OAA’s role in shaping decentralized AI:
The alliance also promotes collaboration over centralization, ensuring that users own their AI agents and that privacy remains a priority.
OAA is part of a broader trend where crypto projects leverage blockchain’s decentralization, transparency, and security to enhance AI development. Many in the industry believe that crypto-powered AI ecosystems can counter the dominance of centralized tech giants.
By aligning with blockchain’s ethos of open-source innovation, the OAA aims to set new standards for trustless, autonomous AI agents. While the long-term impact remains to be seen, the alliance signals a major shift toward decentralized AI development.
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