This arXiv paper proposes a multi-agent reasoning prototype for hydrodynamics, arguing that specialized agents can reduce the context bottlenecks of single-agent scientific workflows. It is most relevant as an applied test case for agent coordination in a technical domain, rather than as a general-purpose framework release.
arXiv:2605.01102v1 Announce Type: new Abstract: Single-agent systems (SAS) have become the default pattern for LLM-driven scientific workflows, but routing planning, tool use, and synthesis through a single context window comes with a well-known cost: as tool specifications and observational traces accumulate, the effective context available for each decision shrinks, and end-to-end reliability suffers. We present a multi-agent system (MAS) prototype for hydrodynamics in which specialized…