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Visual workflow and AI agent platform you can self-host and inspect step by step

  • A visual workflow builder that accepts code steps when a task needs more control.
  • AI agents that run inside a workflow, with live views of current runs and records of past ones.
  • Guardrails for agent behavior, including structured inputs and outputs, human approval steps and rule-based branches.
  • More than 500 native integrations, plus connections to APIs and other agents through MCP.

Best for: Developers and technical teams that automate internal processes. · IT, security and DevOps teams that need self-hosting and governance. · Operations teams adding AI agents to existing workflows.

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n8n.io
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Introduction

n8n is a workflow automation platform for connecting apps, APIs and AI agents in one place. Workflows are built on a visual canvas, and any step can be opened to see its input, output and configuration. That visibility is the core idea: agents and automations should be inspectable by the people who depend on them. Teams can run n8n in the cloud or host it themselves.

Key Features

  • A visual workflow builder that accepts code steps when a task needs more control.
  • AI agents that run inside a workflow, with live views of current runs and records of past ones.
  • Guardrails for agent behavior, including structured inputs and outputs, human approval steps and rule-based branches.
  • More than 500 native integrations, plus connections to APIs and other agents through MCP.
  • Self-hosting on your own infrastructure or with Docker.
  • Version history, audit logs, SSO with SAML, LDAP, role-based permissions and Git-based control.
  • A one-step recovery option that re-runs only the failed part of a workflow.

Who is it for

  • Developers and technical teams that automate internal processes.
  • IT, security and DevOps teams that need self-hosting and governance.
  • Operations teams adding AI agents to existing workflows.
  • Enterprises that require SSO, audit logs and role-based access.

What can you do with n8n

  • Automate multi-step processes across business applications.
  • Add an AI agent that reasons over data and calls the tools it needs.
  • Put an approval step in front of actions that carry risk.
  • Replay a past run with mock data to test a change before release.
  • Self-host the platform to keep workflow data on your own infrastructure.
  • Give other agents and coding assistants access through MCP.

How does n8n work

  1. Start from a blank canvas or a template and add a trigger.
  2. Connect applications, APIs and data sources as nodes on the canvas.
  3. Add agent nodes, choose a model and define the tools and guardrails the agent may use.
  4. Insert approval or branching steps where a person or a rule must decide.
  5. Run the workflow, open any step to inspect its data, then fix and re-run the failed part.

Pricing

  • The Community Edition can be self-hosted at no listed cost.
  • Starter is 20 euros per month billed annually, with 2.5K executions and unlimited steps.
  • Pro is 50 euros per month billed annually, with 10K executions.
  • Business is 667 euros per month billed annually, with 40K executions, and is self-hosted only.
  • Enterprise is custom priced, with custom executions and either hosted or self-hosted deployment.

FAQ

Is n8n open source?

n8n publishes a Community Edition that can be self-hosted at no listed cost. The pricing page lists it alongside the hosted Starter, Pro, Business and Enterprise plans.

Can I host n8n myself?

Yes. Self-hosting is supported on your own infrastructure or with Docker, and the Business plan is self-hosted only. Hosted cloud plans are also available.

Do I need to write code to use n8n?

No. Most workflows can be assembled visually. Code steps are available when a task needs custom logic, and developers can use Git-based control for larger deployments.

What counts as an execution?

An execution is one run of a workflow. Paid plans set a monthly execution allowance while leaving the number of steps inside each workflow unlimited.

Can n8n run AI agents?

Yes. Agents can run as part of a workflow, call tools, and be wrapped in approvals or rule-based checks. Teams can watch a run live or review its history afterward.

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