Overview
Single-agent systems hit context limits. Multi-agent systems distribute complex tasks across specialized agents that collaborate, delegate, and verify each other's work. This module covers LangGraph's supervisor-worker architecture, agent communication protocols, state management, and how to keep humans in the loop without losing automation benefits.
Concept Flashcards
6 cards — click to flip and test recall
1 / 60/6 mastered
System Architecture
2 interactive diagrams — drag nodes · scroll to zoom · click for details
A supervisor LLM decomposes tasks and routes them to specialized worker agents. LangGraph implements this as a directed state graph with conditional edges.
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Supervisor
Research Agent
Coder Agent
Critic Agent
Human-in-the-Loop
Key Concepts
6 concepts — click to expand
A supervisor agent receives the user's task, decomposes it, and routes subtasks to specialized worker agents (coder, researcher, critic). The supervisor aggregates results and decides when the task is complete. LangGraph implements this with conditional edges and a shared state graph.
Tech Stack
LangGraphLangChainPydanticAIFastMCPA2A ProtocolLlamaIndex
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