Building a Multi-Agent System in TypeScript

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AI Fusion Summary

Multi-agent systems address production limits of single agents, such as context window constraints and slow sequential reasoning, by decomposing complex goals across specialized agents. Implementation patterns in TypeScript include Orchestrator/Subagent and Pipeline architectures. While 2025 saw an explosion of ecosystems like Hermes and LobeHub to scale workflows, experts warn that multi-agent systems are tools rather than trends. Teams should only transition from single agents to specialized teams when specific operational failures necessitate such a split.
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