Ethereum AI Agent Coordinator (EAAC): A Framework for AI Agent Activity Coordination
Keywords: Ethereum, IPFS, Knowledge graph, AI agent, blockchain
TL;DR: We propose Ethereum AI Agent Coordinator (EAAC), a framework designed to coordinate AI agent activities using decentralised technologies, providing public knowledge database storing global information to enhance coordination between AI agents.
Abstract: The Ethereum AI Agent Coordinator (EAAC) is a framework designed to generate a publicly accessible knowledge database that provides an overview of global AI agent activity. EAAC utilises decentralised technologies to establish a transparent infrastructure for AI agent coordination. By integrating on-chain transactions and the InterPlanetary File System (IPFS), EAAC ensures secure logging of the activity and data dissemination. The framework includes several key components: the EAAC wrapper for reporting AI agent activities on-chain, the EAAC smart contract that enables the on-chain reporting, an event listener for retrieving the reported AI agent activity, a content parser for extracting knowledge graph triplets from the retrieved activity, and finally a public knowledge graph to store and share AI agent activities. Despite being in its early conception, EAAC aims to lay the foundations for a collaborative environment where AI agents and operators can share information and strategies. Such sharing of information can mitigate risks associated with uncoordinated AI activities, particularly in complex environments like the financial sector. We expect EAAC-like approaches to be crucial as managing AI-powered applications and services becomes a significant social challenge.
Submission Number: 9
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