LangGraph vs n8n: Which Automation Platform Should You Choose?

In today’s fast-evolving digital landscape, workflow automation is key to boosting productivity and streamlining operations. Two powerful automation platforms gaining traction are LangGraph and n8n. Both provide no-code or low-code tools for integrating apps and building workflows, but they serve different user needs and scenarios.

This article compares LangGraph and n8n on key aspects like features, flexibility, integrations, hosting options, pricing, and ideal use cases — helping you decide which platform fits your business best.

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What is LangGraph?

LangGraph is an emerging no-code platform focused on creating AI-powered data workflows and automation pipelines that incorporate language models and AI agents. It allows users to design workflows that combine AI tasks, API calls, and traditional automation steps visually.

LangGraph’s core strength lies in agentic AI automation — enabling multi-step reasoning and autonomous decision-making using AI components. It targets developers, AI practitioners, and businesses looking to build complex AI-driven processes easily.

Key Features of LangGraph:

• Visual workflow builder designed for AI and data pipelines

• Native integration with large language models like OpenAI GPT, Claude, and others

• AI agent orchestration for autonomous task execution

• Support for data transformation, API integration, and custom code blocks

• Cloud-based platform with managed infrastructure and easy deployment

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What is n8n?

n8n is a mature, open-source, no-code/low-code workflow automation platform that allows users to connect apps and services to automate virtually any business process. It’s well known for its self-hosting capabilities that give users full control over their workflows and data.

n8n is designed to be highly extensible with over 500 integrations — from Google Sheets and Slack to AI providers like OpenAI. It’s suitable for marketers, developers, and enterprises who want flexible, cost-effective automation.

Key Features of n8n:

• Drag-and-drop visual workflow editor

• Self-hosting or cloud hosting options for full data control

• Extensive app integrations (500+ nodes)

• Ability to add custom JavaScript and develop custom nodes

• Open-source community-driven with active support and updates

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LangGraph vs n8n: Feature Comparison

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When to Choose LangGraph?

• You need advanced AI workflows with multi-agent orchestration and autonomous reasoning

• Your workflows heavily rely on large language models and AI pipelines

• You prefer a managed cloud platform with minimal setup overhead

• You are focused on AI research, data science, or AI-driven business automation

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When to Choose n8n?

• You want full control over your automation environment and data privacy with self-hosting

• You need a general-purpose automation tool that connects hundreds of apps

• You want to leverage open-source flexibility and customize workflows deeply

• You want to avoid recurring SaaS fees and scale workflows cost-effectively

• Your use cases include marketing automation, ecommerce, customer support, and internal ops

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Pricing Overview

• LangGraph: Mostly subscription-based, prices vary depending on features, users, and API calls. Focused on SaaS model.

• n8n: Free to self-host. Paid cloud plans available for those who want managed hosting with uptime guarantees.

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Both LangGraph and n8n are powerful automation platforms, but they cater to different needs:

• Choose LangGraph if your focus is AI-driven, agentic workflows requiring complex AI orchestration on a cloud platform.

• Choose n8n if you want an open-source, self-hosted, flexible automation tool with broad integrations and control over your data.

If you’re interested in deploying n8n with reliable VPS hosting, consider Hostinger’s plans with special discounts here:
https://hostinger.in/?REFERRALCODE=TWEELABS

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Additional Resources

• LangGraph official site: https://langgraph.com

• n8n official docs: https://docs.n8n.io

• Hostinger VPS hosting: https://hostinger.in/vps-hosting