According to Deep Tide TechFlow, on December 17, the AI agent development platform Eliza Labs announced a partnership with Stanford University's Financial and Digital Currency Initiative (FDIC) to jointly explore the application of AI autonomous agents in digital currency systems. The project is scheduled to launch in the first quarter of 2025 and will conduct research around three core areas: agent trust mechanisms, multi-agent economic systems, and decentralized agent governance.
This collaborative project will develop practical applications of automated market-making systems and decentralized financial services based on Eliza Labs' existing open-source agent framework. Research results will be released through open-source frameworks, simulation platforms, and peer-reviewed papers. The project is led by Stanford professors Dan Boneh and David Mazières, and is currently seeking industry partners to participate.
Eliza Labs founder Shaw Walters stated that this collaboration will combine Stanford's academic rigor with the broad application foundation of the Eliza AI agent framework to promote the development of trust and governance in the decentralized economy. The company was established in 2024 and focuses on developing the next generation of autonomous agent systems.