What Is n8n?
The workflow automation platform explained: visual nodes plus code, fair-code licensing, self-host versus Cloud, and native AI on LangChain.
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Workflow Automation With Native AI
Workflow automation that pairs a visual node editor with real code, plus native AI through LangChain, an AI Agent node, and MCP. Run it as managed Cloud or self-host it on your own server.
Visual Editor
Build workflows as a node-based graph, with branching, merging, and error paths
Code Node
Drop into custom JavaScript or Python and pull in npm packages when you need more
AI Agent Node
Goal-oriented agents on LangChain, with chat models, vector stores, and memory
MCP Support
MCP Client and Server Trigger nodes, plus an instance-level MCP server
Self-Host or Cloud
Run the free Community Edition via Docker or npm, or use n8n Cloud with a license key
n8n (pronounced "n-eight-n", short for "nodemation") is a workflow automation platform that combines a visual node-based editor with the option to write real code. Founded in 2019 in Berlin by Jan Oberhauser and built on Node.js and TypeScript, it models each workflow as a directed graph of nodes, aiming for "the flexibility of code with the speed of no-code" for technical teams.
n8n is fair-code, not open source in the OSI sense. Its source is licensed under the Sustainable Use License plus the n8n Enterprise License, adopted in March 2022 to replace its earlier Apache-2.0 and Commons Clause terms. The code is visible on GitHub, self-hostable, and extensible, and the license permits use, modification, and redistribution while restricting the software to internal business purposes. Some advanced features require a Business or Enterprise key.
You can self-host n8n with Docker or npm and reach the editor at localhost:5678. Without a license key it runs as the free Community Edition; a Business or Enterprise key unlocks those editions, and queue mode adds worker processes for scale. Self-hosting gives you maximum privacy and control but calls for server, scaling, and security expertise. n8n recommends Cloud for teams that prefer not to manage infrastructure.
AI is built into the platform on top of LangChain, supporting retrieval-augmented and multi-agent setups. The AI Agent node handles goal-oriented tasks rather than plain text generation, with agent types such as Conversational, ReAct, and Tools. n8n also supports the Model Context Protocol through MCP Client and Server Trigger nodes and can itself run as an MCP server.
n8n reports more than 400 integrations across its repository and homepage (its homepage also cites 500+, and a December 2025 reference cited 350+), with custom HTTP and GraphQL calls covering anything not pre-built. Community and adoption figures, including roughly 191k GitHub stars and a 4.9/5 G2 rating, are vendor-reported. Treat integration counts, template counts, and community numbers as vendor-reported and expect the figures to shift over time.
All figures below are vendor-reported and shown as published by n8n. Integration and template counts vary across n8n's own pages.
191K+
GitHub Stars*
400+
Integrations*
800+
Templates*
4.9/5
G2 Rating*
In-depth coverage of n8n's architecture, AI agents, pricing model, self-hosting, and how it stacks up against Zapier and Make. Claims are grounded in n8n's own documentation, with vendor-reported figures labeled as such.
The workflow automation platform explained: visual nodes plus code, fair-code licensing, self-host versus Cloud, and native AI on LangChain.
Wire up the AI Agent node on LangChain: pick a chat model, attach tools, vector stores, and memory, and move from a single LLM call to multi-step agents.
How execution-based billing works across the free Community Edition, Starter, Pro, Business, and Enterprise plans, and how it differs from per-task pricing.
Run the free Community Edition with Docker or npm, reach the editor at localhost:5678, and understand queue mode and the security work self-hosting requires.
Per-execution versus per-task billing, self-hostable versus cloud-only, and code-plus-visual versus app-first: which automation model fits your team.
Comparing the two on automation model and architecture: n8n's per-execution billing, self-hosting, and code nodes against Make's per-operation visual cloud.
How n8n speaks the Model Context Protocol: MCP Client and Server Trigger nodes, the MCP Client Tool inside agents, and running n8n itself as an MCP server.
A guided pick of n8n's template library, from AI agent chats and web scraping to data syncs and workflow backups, with what each one is good for.
Explore the LLM gateways n8n connects to, competing AI platforms, and the broader AI Tools Hub.
LLM Gateways Hub
OpenRouter, Vercel AI Gateway, and other model routers n8n connects to natively.
Anthropic Claude Hub
A frontier model you can attach as the chat model behind an n8n AI Agent.
CrewAI Hub
A code-first multi-agent framework, an alternative to n8n's visual agent builder.
ChatGPT Hub
OpenAI models that plug into n8n's chat model nodes for agents and chains.
AI Tools Hub
Breakdowns, comparisons, and guides across every vendor we cover.
AI Governance
Responsible AI, the EU AI Act, and compliance frameworks for automated workflows.
Important context for responsible AI adoption
n8n can run two ways, and the data path differs. Self-hosted n8n runs on infrastructure you control and keeps workflow data within your own environment. n8n Cloud processes workflow data through n8n's managed infrastructure. In both cases, when a workflow calls an external LLM or third-party service, that data is subject to each provider's terms of service and data processing agreements. Review n8n's current privacy policy and the terms of any service your workflows call before processing confidential or personally identifiable information.
Automated workflows and AI agents can move fast and act without supervision, so keep a human in the loop for decisions that carry real consequences. n8n AI agents act on LLM outputs, which can be confidently wrong. If you are experiencing distress:
AI systems can produce plausible-sounding but incorrect guidance. For mental health, medical, legal, or financial decisions, always consult a qualified professional.
See the NIST AI Risk Management Framework for structured guidance on AI risk assessment.
Under GDPR (EU) and CCPA (California), you have the right to access, correct, and delete your personal data. Self-hosting n8n gives you direct control over the data your workflows process; n8n Cloud operates under n8n's data processing terms.
The EU AI Act classifies general-purpose AI models above certain capability thresholds under transparency and risk obligations. AI agents and automated workflows deployed within the EU are subject to these provisions, with compliance responsibilities falling on the deploying organization under the EU AI Act's provider liability framework.
This publication is editorially independent. AI tool coverage reflects independent research, verified sources, and editorial judgment. Where affiliate links are present, they are clearly disclosed and do not influence conclusions.