n8n

n8n is a node-based workflow automation tool from a company based in Berlin. It is in the same category as Zapier — connecting apps so that flows like “when an email arrives, save it to a spreadsheet and send a notification” run on their own — with one big difference: you can host it yourself. The source is available, it runs on your own server, data stays inside your network, and there is no per-run charge.

n8n has become very popular in AI circles because it ships model calls, AI agents and vector databases as ready-made nodes. Developers can assemble a full pipeline on a visual canvas — read material, call a model, branch on conditions, write back to a database — and drop in JavaScript or Python where no node fits. That makes it noticeably more flexible than pure no-code tools.

Note that its licence is not open source in the strict sense but a “fair-code” licence: free for personal and internal company use, with restrictions on reselling it commercially. And self-hosting means operations, upgrades and backups are your job.

Key features

• Visual workflows: Drag nodes onto a canvas and wire up triggers, data processing and actions.
• Wide integration library: Hundreds of built-in nodes for common apps and services, plus HTTP requests to reach any API.
• AI agent nodes: Connect various model providers and build AI apps with memory, tool calls and vector stores.
• Code nodes: Write JavaScript or Python inside a flow for complex data transformations.
• Many triggers: Schedules, webhooks, form submissions, app events and more.
• Self-hosting: Deploy with Docker or similar on your own server and keep full control of data.

How to use

1. Sign up for the official cloud to try it quickly, or follow the docs to self-host with Docker.
2. Create a workflow and add a trigger node first, such as a schedule or webhook.
3. Add processing nodes in order and set up credentials for each app.
4. For AI, add an AI agent or model node and enter the provider’s API key.
5. Test node by node, confirm the data looks right, then activate the workflow.

Best for

• Internal AI apps: a Q&A bot over company documents, automatic ticket handling.
• Data sync: moving and cleaning data between CRMs, spreadsheets and databases.
• Data-sensitive teams that need everything to stay on their own servers.
• High-volume flows: self-hosting has no per-run fees, so heavy use gets cheaper.

Strengths and limitations

Strengths

• Self-hostable, with full data control and no per-execution charges.
• Combines visual building with code, so complex logic is achievable.
• Mature AI nodes make it a go-to choice for agent pipelines.

Limitations

• A real barrier for non-technical users; debugging data structures needs some programming knowledge.
• Self-hosting puts operations, upgrades and security on you.
• The licence restricts commercial resale, and some enterprise features require a paid edition.
• Built-in nodes mostly target Western apps; connecting Chinese services usually means writing HTTP requests yourself.