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arXiv cs.AI·

GraphMind: From Operational Traces to Self-Evolving Workflow Automation

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In three linesGraphMind automates complex operational workflows by extracting action graphs from human resolution traces, then executes them via a multi-agent engine with LLM reasoning. An adaptive reinforcement mechanism (ATR) optimizes successful paths. Deployed across 4 cloud services, the system outperforms a Trace-RAG baseline with a 4.95/5 expert review score.
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Multi-agentRAGReinforcement learningAI AgentsPapers

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