Topic
LangGraph Multi-Agent Workflows
6 posts on langgraph multi-agent workflows — part of framework tutorials on the n4n AI blog.
Multi-agent research assistant using LangGraph and n4n.ai
Build a langgraph n4n.ai multi-agent research assistant with LangGraph: step-by-step setup, runnable code, and verification for engineers shipping LLM systems.
LangGraph supervisor pattern: coordinating multiple agents
Practical guide to the LangGraph supervisor pattern for multi-agent systems: architecture, code, pitfalls, and tradeoffs for production orchestration.
LangGraph state machines explained with a code example
A precise LangGraph state machine explained: how graph-based agent orchestration works, with a runnable Python example and common pitfalls to avoid.
Building a hierarchical agent team in LangGraph
Learn how to build a LangGraph hierarchical agent team with a supervisor and worker agents. Step-by-step code for orchestrating multi-agent workflows.
Building a customer support graph with LangGraph
Build a langgraph customer support agent with stateful routing, retrieval, and escalation. Step-by-step Python code for a production-ready support workflow.
Build a multi-agent workflow with LangGraph
A practical langgraph multi-agent workflow tutorial: build a supervisor-routed system of specialized agents with LangGraph, from setup to verified run.
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- One Backend, Every Model: Swapping GPT-5, Claude, Gemini & Llama Across Frameworks9
- AutoGen Human-in-the-Loop Workflows8
- LangChain Multi-Model Fallback & Routing8
- AutoGen Getting Started with n4n.ai7
- AutoGen Multi-Agent Conversations & Group Chat7
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- CrewAI Real-World Crew Examples7