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langchain-ai/langgraph vs n8n-io/n8n

Compare langchain-ai/langgraph and n8n-io/n8n using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.

langchain-ai/langgraph

LangGraph provides low-level supporting infrastructure for building long-running, stateful agents and workflows that persist through failures. It enables durable execution, human-in-the-loop interactions, and stateful memory, though coding is required to implement and manage these agents.

License
MIT
Deployment
Library integration
Use cases
Automation
Updated
2026-07-17T08:50:16Z

Original project link

n8n-io/n8n

A fair-code, source-available platform for building and deploying AI agents and workflow automation, featuring a visual canvas, optional custom code, and over 1500 integrations. It supports self-hosting alongside a managed service.

License
License pending
Deployment
Refer to project documentation
Use cases
Documents & Office · Coding & Development · Automation
Updated
2026-07-14T18:05:34Z

Original project link

How to choose

First eliminate options that fail required deployment, license, or use-case constraints; then inspect each detail page for limitations and direct evidence.