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

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arxiv 2505.07603 v1 pith:EF34ZX4Y submitted 2025-05-12 cs.DC

Ching Han Chen , Ming Fang Shiu This is my paper
classification cs.DC
keywords agentflowcoordinationcloud-edgeframeworkresilientservicesystemsabstract
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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.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems

    cs.AI 2026-05 unverdicted novelty 7.0 of 10

    A survey that unifies prior work on multi-agent LLM systems via the LIFE framework, mapping dependencies across collaboration, failure attribution, and autonomous self-evolution while identifying cross-stage challenges.

  2. Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering

    cs.AI 2026-07 conditional novelty 5.0 of 10

    Matryoshka Agent’s orchestrator–sub-agent hierarchy plus tree-ranked RL raises MLE-Dojo HumanRank, letting a 4B orchestrator approach o4-mini and giving a 30B coder up to 36.7% relative gain.

  3. Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems

    cs.AI 2026-05 conditional novelty 5.0 of 10

    The survey proposes the LIFE framework to unify fragmented research on collaboration, failure attribution, and self-evolution in LLM multi-agent systems into a progression toward self-organizing intelligence.

  4. A Conflict-Aware Resource Management Framework for the Computing Continuum

    cs.DC 2025-12 unverdicted novelty 4.0 of 10

    A DRL-based framework for adaptive conflict resolution in resource orchestration across the computing continuum.

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