AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination

TL;DR

AgentFlow is a novel multi-agent system framework designed for resilient, scalable, and adaptive coordination in heterogeneous cloud-edge environments, enabling decentralized decision-making and fault tolerance.

Contribution

It introduces logistics objects and abstract agent interfaces for dynamic service orchestration and decentralized coordination without central servers.

Findings

Supports decentralized publish-subscribe messaging

Enables flexible task reorganization and fault tolerance

Provides scalable real-time multi-agent coordination

Abstract

This paper presents AgentFlow, a MAS-based framework for programmable distributed systems in heterogeneous cloud-edge environments. It introduces logistics objects and abstract agent interfaces to enable dynamic service flows and modular orchestration. AgentFlow supports decentralized publish-subscribe messaging and many-to-many service elections, enabling decision coordination without a central server. It features plug-and-play node discovery, flexible task reorganization, and highly adaptable fault tolerance and substitution mechanisms. AgentFlow advances scalable, real-time coordination for resilient and autonomous mission-critical systems.