n8n
A workflow automation platform that connects AI agents and model calls to hundreds of business applications.
By n8n · reviewed 2026-08-15
What n8n does
n8n is broader than an AI-only tool: it combines triggers, application connectors, code steps, credentials, human approvals, and AI agent nodes. It is useful for operational automation around local or hosted models, under a source-available sustainable-use license.
Pricing model
Free self-hosting for permitted use; paid cloud and enterprise
Position in the stack
Where n8n fits
n8n belongs primarily in the agents automation layer. n8n is broader than an AI-only tool: it combines triggers, application connectors, code steps, credentials, human approvals, and AI agent nodes. It is useful for operational automation around local or hosted models, under a source-available sustainable-use license. It should be evaluated as one part of a complete stack, because model files, inference providers, storage, identity, and external integrations remain separate operational choices.
Typical deployment flow
A practical sequence for evaluating n8n before making it part of a permanent stack.
- STEP 1
Confirm the deployment boundary
Choose among self-hosted, managed-cloud based on users, data sensitivity, network access, and who will operate updates.
- STEP 2
Validate the complete stack
Check Node.js package, Docker, Managed cloud, connected providers, supported formats, and exact hardware or accelerator compatibility before rollout.
- STEP 3
Run a representative workflow
Test connecting ai to business systems, record versions and settings, then review security, backups, observability, and failure recovery.
Best for
- Connecting AI to business systems
- Event-driven and scheduled automation
- Human approvals around agent workflows
Not the right layer for
- Redistributing n8n as a hosted product without licensing
- Direct model serving and GPU management
Capabilities
Capabilities refer to the tool's application layer. Hardware and model support can still depend on a connected inference engine.
Deployment and compatibility
- Deployment
- Self-hostedManaged cloud
- Platforms
- Linux · Docker · Managed cloud
- Hardware backends
- Uses connected model runtime
- Install methods
- Node.js package · Docker · Managed cloud
Models and integrations
- Model formats
- Uses connected model runtime
- Common integrations
- OllamaModel providersDatabasesBusiness applications
Strengths
- Large application connector catalog
- General automation plus AI nodes
- Self-hosted and managed options
Limitations
- License restricts some commercial service models
- Workflow credentials and side effects require careful governance
Planning checklist
Before you choose n8n
Answer these questions with the exact models, hardware, users, and data you expect to operate.
- Does n8n support the exact model, provider, data source, and operating system required by the workflow?
- Can the available hardware and memory handle the selected models, context, concurrency, and runtime overhead?
- Do the n8n Sustainable Use License terms fit internal use, modification, redistribution, and any commercial service being planned?
- Who will own upgrades, credentials, backups, monitoring, and recovery when this tool becomes part of a real workflow?
n8n FAQ
What layer does n8n replace?
n8n primarily covers agents automation. It does not automatically replace every model runtime, application, storage service, or infrastructure dependency connected to that layer.
Can n8n run entirely locally?
Yes, a local or self-hosted path is available. Privacy still depends on the model providers, connectors, telemetry, and external tools that you enable.
What should be tested before adopting n8n?
Use the exact models, documents, integrations, hardware, concurrency, and security boundary expected in production. Feature lists and public benchmarks cannot validate that complete combination.
Official sources
Use these links to confirm current compatibility and installation requirements.
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Execution evidence
Known working recipes using n8n
Recipes connect hardware, a model artifact, tools, settings, verification, and a reportable result.
No verified recipe is linked to this record yet.
Compatibility estimates remain available in the planner. A recipe appears here only after its exact stack and verification protocol are documented.