© LangChain Blog 2026

Multi-agent architectures are a solution for complex tasks that are difficult for a single AI agent to handle. There are four primary patterns for designing these systems, each with its own trade-offs and use cases. The LangChain framework provides tools and abstractions to effectively build and orchestrate these multi-agent systems. This approach helps determine when a multi-agent design is necessary over a single-agent solution.