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Run n8n workflow automation on your own machine with Docker
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What this guide covers
For creators who want a self-hosted visual automation tool that can call local or hosted language models. You end with n8n running in a container with its data kept in a named volume. It is based on the project README and licence, was not run, and its licence limits commercial use.
More about this guide
Guide ID: art_01M6W20A2JVVK9Q1A3JBG629TQ
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Guide title
Run n8n workflow automation on your own machine with Docker
Coverage
For creators who want a self-hosted visual automation tool that can call local or hosted language models. You end with n8n running in a container with its data kept in a named volume. It is based on the project README and licence, was not run, and its licence limits commercial use.
Example
The example is the README's own two-line Docker route, shown unchanged; it was not run for this guide.
Useful starting points
- n8n uses the Sustainable Use License, so paid or client work needs a check of the licence terms before you start.
- If the editor does not load, check that the container is running and that nothing else is using the same port.
- Read any install script before running it rather than piping a download straight into a shell.
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