Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis
4.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.27942.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPaper distills four design principles for scalable LLM multi-agent architectures (simplicity, elastic feedback, sequential workflows with optional loops, summary-based communication), formalizes a reference architecture as a directed workflow graph, and empirically evaluates four configurations on terminal-based engineering tasks, finding accuracy scales roughly linearly with cost only above an LLM capability threshold, with performance peaking at intermediate complexity.
Why it mattersSystematizes MAS design principles with empirical scaling data, giving practitioners concrete guidance on topology, communication patterns, and capability thresholds when building agentic systems.
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