Eliza Labs launches Auto.fun, a no-code platform with which users can make autonomous AI agents, implement and earn money that work on social media, Defi apps and Web3 services without writing any code.
Auto.Fun is partly 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 makers and users.
Users can run their own AI agents who do more than just talking – they act. Whether it is agricultural yield, placing content, exchange tokens or turning web3 services, these bots connect to Defi, social platforms and more to actually do things.
The first implementation focuses on X (formerly Twitter), with planned expansion to Defi and gaming platforms.
“The vision for car. Fun is to democratize access to both AI and Web3 technologies by making agents who can perform tasks autonomously on behalf of users,” said Shaw Walters, founder of Eliza Labs and Elizaos.
“An agent could automate the strategies for agriculture of proceeds, manage social media accounts on platforms or perform trade strategies – all while they are active within a sustainable economic framework that benefits both makers and users,” he added.
In contrast to alternatives to closed source, Auto.Fun open-source, which gives users transparency what their agents are doing and how their data is treated, according to Walters.
The platform implements a “fairer than a fair” token launch mechanism through binding curves with which project teams can protect up to 50% of the tokens in a pre-market list. The system includes liquidity NFT mechanics that distribute swap costs to token makers.
The platform is launched with more than 15 projects, including the social agents of Fightfi who compete on X, the Czai agent of Kryptonite who offers membershipstokens 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 that is designed to bring a revolution in the way in which autonomous AI agents are made, implemented and managed.
Eliza Labs cooperates with the Future of Digital Currency Initiative (FDCI) of Stanford University to investigate the impact of autonomous AI agents on digital currency systems, to investigate the Eliza-Framework for research into trust, coordination and decision-making in decentralized financing.
