Multi-agent solution for airdrop hunting on social network and blockchain

Abstract

In this project, we propose the development of an advanced multi-agent system designed to optimize the discovery and acquisition of airdrops on online social networks and blockchains. Central to this system is a principal agent responsible for orchestrating the collaborative efforts of subordinate AI agents, allocating tasks, and synthesizing outcomes. This architecture allows for a division of labor among the agents, wherein specific agents are dedicated to gathering relevant airdrop information on online social networks and executing on-chain operations. Our approach leverages the strengths of distributed intelligence to efficiently identify and exploit airdrop opportunities in the dynamic blockchain community.