CARV's Open-Source D.A.T.A. Framework: Revolutionizing AI Reasoning in Web3
1min read CARV, a leading AI chain ecosystem focused on data sovereignty, has announced that its D.A.T.A. (Data Authentication, Trust, and Attestation) Framework has been made open-source. This significant move is part of CARV's ongoing effort to democratize AI data access and facilitate the development of decentralized AI.
The D.A.T.A. Framework is now fully available on GitHub, enabling developers worldwide to build, refine, and scale AI agents with verifiable access to both on-chain and off-chain data. This open-source initiative allows AI agents to not only react but also reason, adapt, and optimize interactions in real-time using structured and privacy-preserving data.
By making the D.A.T.A. Framework open-source, carv aims to bring DeepSeek's chain-of-thought processing into web3, enabling AI agents to perform multi-step logical reasoning before taking actions. The Framework also facilitates multi-stage verification of AI decisions and empowers AI agents with economic self-awareness, fostering decentralized knowledge networks.
The Open-Source D.A.T.A. Framework offers a range of features, positioning itself as the foundation for decentralized intelligence. Key features include real-time on- and off-chain data access, cross-chain verification identity mapping, economic self-awareness and monetization, and privacy-preserving AI computation with TEE.
With CARV's D.A.T.A. 2.0 going open-source, developers, researchers, and enterprises are invited to contribute to the evolution of AI reasoning in Web3. By leveraging token-driven intelligence, they can create AI-driven economies and push the boundaries of privacy-preserving AI execution, fostering economic self-awareness among AI agents.
