Eliza Labs is launching auto.fun, a no-code platform that enables users to create, deploy, and monetize autonomous AI agents that operate across social media, DeFi apps, and web3 services—without needing to write any code.
Auto.fun is part no-code builder, part agent marketplace, and part token launchpad, designed to lower the barrier to web3 functionality. It combines agentic AI with a sustainable, token-based economy that rewards both creators and users.
Users can spin up their own AI agents that do more than just talk—they act. Whether it’s farming yield, posting content, trading tokens, or running around web3 services, these bots plug into DeFi, social platforms, and more to actually do things.
Initial deployment focuses on X (formerly Twitter), with planned expansion to DeFi and gaming platforms.
“The vision for auto.fun is to democratize access to both AI and web3 technologies by creating agents that can execute tasks autonomously on behalf of users,” said Shaw Walters, founder of Eliza Labs and ElizaOS.
“An agent could automate yield farming strategies, manage social media accounts across platforms, or execute trading strategies – all while operating within a sustainable economic framework that benefits both creators and users,” he added.
Unlike closed-source alternatives, Auto.fun is open-source, giving users transparency into what their agents are doing and how their data is handled, according to Walters.
The platform implements a “Fairer Than Fair” token launch mechanism through bonding curves that allows project teams to secure up to 50% of tokens in a pre-market listing. The system includes liquidity NFT mechanics that distribute swap fees to token creators.
The platform launches with over 15 projects, including FightFi’s social agents competing on X, Kryptonite’s CZAI agent offering membership tokens, and Comput3’s compute service credits. Other early ecosystem members are Secret, Sigma Music Agent, and Astra.
Eliza Labs is the team behind ElizaOS, the well-known Eliza agent framework designed to revolutionize how autonomous AI agents are created, deployed, and managed.
Eliza Labs has partnered with Stanford University’s Future of Digital Currency Initiative (FDCI) to explore the impact of autonomous AI agents on digital currency systems, leveraging the Eliza framework for research into trust, coordination, and decision-making in decentralized finance.
