Overview

n8n vs Langflow: AI Workflow Automation Comparison

Compare n8n and Langflow for workflow automation, AI node orchestration, integration ecosystem, and visual development.

Projects Compared

n8n

TypeScript · NOASSERTION

187.5k ★

n8n is a powerful workflow automation platform with native AI agent nodes, enabling multi-step agent workflow orchestration and hundreds of external service integrations.

workflowautomationai-agentintegrationtypescript
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Langflow

Python · MIT

148.0k ★

Langflow is a visual AI agent and workflow builder platform with drag-and-drop design, multi-LLM integration, and tool composition to simplify agent development.

agent-frameworkworkflowvisual-editorlow-codepython
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Feature Comparison

Best for n8nLangflow
Core positioning General automation platform with rich integrations, suitable for business process automation Visual AI/LLM flow builder, suitable for model, retrieval, and agent workflow experiments
Integration ecosystem Very rich integrations across apps, APIs, databases, and SaaS services More focused on LLMs, vector databases, document processing, and LangChain ecosystem components
AI-native depth Supports AI automation through nodes and community integrations More AI-native, built around LLM, RAG, and agent workflows

GitHub Stats

Metric n8nLangflow
Stars 187.5k148.0k
Forks 57.5k9.0k
Language TypeScriptPython
License NOASSERTIONMIT
Last commit May 12, 2026May 12, 2026

Which one should you choose?

Choose based on your primary workflow, language ecosystem, and integration needs. Review each project's documentation and recent GitHub activity before adopting it in production.