Fetch.ai: An Architecture for Modern Multi-Agent Systems

Title:Fetch.ai: An Architecture for Modern Multi-Agent Systems

Abstract:Recent surges in LLM-driven intelligent systems largely overlook decades of foundational multi-agent systems (MAS) research, resulting in frameworks with critical limitations such as centralization and inadequate trust and communication protocols. This paper introduces the this http URL architecture, an industrial-strength platform designed to bridge this gap by facilitating the integration of classical MAS principles with modern AI capabilities. We present a novel, multi-layered solution built on a decentralized foundation of on-chain blockchain services for verifiable identity, discovery, and transactions. This is complemented by a comprehensive development framework for creating secure, interoperable agents, a cloud-based platform for deployment, and an intelligent orchestration layer where an agent-native LLM translates high-level human goals into complex, multi-agent workflows. We demonstrate the deployed nature of this system through a decentralized logistics use case where autonomous agents dynamically discover, negotiate, and transact with one another securely. Ultimately, the this http URL stack provides a principled architecture for moving beyond current agent implementations towards open, collaborative, and economically sustainable multi-agent ecosystems.

Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI)

arXiv:2510.18699 [cs.MA]

(or arXiv:2510.18699v2 [cs.MA] for this version)

https://doi.org/10.48550/arXiv.2510.18699 Focus to learn more arXiv-issued DOI via DataCite

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