n4nAI

Topic

LangGraph Multi-Agent Workflows

15 posts on langgraph multi-agent workflows — part of framework tutorials on the n4n AI blog.

Framework tutorialsHow-to

Persisting LangGraph state with checkpointers

Learn to persist LangGraph state with checkpointers — from in-memory to Postgres, with runnable code and verification steps.

4 min read
Framework tutorialsHow-to

Multi-agent code review pipeline with LangGraph

Build a production-ready langgraph multi-agent code review pipeline with static analysis, security scanning, and style enforcement agents.

5 min read
Framework tutorialsHow-to

LangGraph streaming and interrupting long-running agents

Learn to implement streaming and human-in-the-loop interrupts in LangGraph agents with runnable code examples for long-running workflows.

4 min read
Framework tutorialsHow-to

Deploying LangGraph apps with LangGraph Cloud

A step-by-step guide to deploying LangGraph applications to LangGraph Cloud, covering project setup, configuration, deployment commands, and verification.

5 min read
Framework tutorialsHow-to

Debugging LangGraph agent loops and infinite cycles

A step-by-step guide to detecting, reproducing, and fixing infinite loops in LangGraph multi-agent workflows with practical code patterns.

5 min read
Framework tutorialsHow-to

LangGraph with Claude 3.5 Sonnet and GPT-4o in one graph

Build a LangGraph workflow that routes tasks between Claude 3.5 Sonnet and GPT-4o based on capability, with runnable code and verification steps.

4 min read
Framework tutorialsComparison

LangGraph vs LangChain agents: when to use each

A practical comparison of LangGraph and LangChain agents across architecture, control flow, debugging, and production readiness — with a clear verdict for each use case.

6 min read
Framework tutorialsGuide

LangGraph human-in-the-loop workflows

Build production-ready langgraph human in the loop workflows with interrupt handling, state persistence, and approval patterns that scale.

5 min read
Framework tutorialsDefinition

LangGraph conditional edges: routing between agents

LangGraph conditional edges enable dynamic agent routing based on state — here's how they work, when to use them, and a production-ready example.

5 min read
Framework tutorialsHow-to

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.

3 min read
Framework tutorialsGuide

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.

3 min read
Framework tutorialsDefinition

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.

4 min read
Framework tutorialsHow-to

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.

2 min read
Framework tutorialsHow-to

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.

3 min read
Framework tutorialsHow-to

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.

3 min read