BLOG . LANGCHAIN . COM {}

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Keywords {🔍}

agent, supervisor, architecture, multiagent, architectures, single, agents, performance, user, systems, generic, domains, swarm, implementation, tool, context, translation, system, tools, case, made, results, domain, test, perform, distractor, note, respond, tokens, dataset, improvements, task, feasible, custom, experiments, handoff, directly, active, subagents, langgraphsupervisor, langchain, explore, common, constraints, teams, easier, today, started, bring, require,

Topics {✒️}

multi-agent bench repo langgraph langgraph-swarm package langgraph langgraph-supervisor package common multi-agent architectures email subscribe sign effective multi-agent system generic multi-agent architectures multi-agent systems scale generic multi-agent architecture multi-agent systems multi-agent architectures multi-agent scenarios common agent systems similar thing happening real-world scenarios spotify playlist management general-purpose agent assigned agent doesn vertical-specific applications reduced errors caused properly delegating work simple agent architecture langgraph create_react_agent implementation increasing tool count retail customer support single distractor domain supervisor agent paraphrasing providing increasing number swarm remain flat application-specific workflow pretty generic architecture increased context-size distractor domains grows tool-calling agent content case studies design separate agents supervisor architecture easily tau-bench dataset performance arises due full task context supervisor implementation included single agent multi-hop generic architectures langgraph-supervisor handoff messages single prompt custom architecture common motivation pretty custom

Questions {❓}

• Are the other architectures out there that may yield better results?
• Is there some way to skip this translation layer more effectively, while still properly delegating work and ensuring responses are made with the full task context?
• So - what is the best generic multi-agent architecture?
• What can be done to increase performance to that level?
• Why don’t swarm and supervisor perform as well as single agent when there is a single distractor domain?

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      headline:Benchmarking Multi-Agent Architectures
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      description:By Will Fu-Hinthorn In this blog, we explore a few common multi-agent architectures. We discuss both the motivations and constraints of different architectures. We benchmark their performance on a variant of the Tau-bench dataset. Finally, we discuss improvements we made to our “supervisor” implementation that yielded a nearly 50% increase in performance on this benchmark. Motivators for multi-agent systems A few months ago, we benchmarked how well a single agent architecture scaled with inc
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