Step-by-Step Guide: 100% Free Local AI Automation with n8n + Ollama (Multilingual)

Getting Started with n8n Docs & Tutorials
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Hi n8n community! :waving_hand:

I wanted to share a project I’ve been working on to help users run AI automations without the recurring costs of OpenAI or other paid APIs.

I’ve created a comprehensive guide on how to connect n8n with Ollama (Llama 3, Mistral, Phi-3) to run everything locally on your own hardware.

:glowing_star: Why this guide?

  • Privacy-First: Your data never leaves your machine.
  • Zero Cost: No API keys or subscriptions needed.
  • Multilingual Support: I’ve written the guide in English, বাংলা (Bengali), हिन्दी (Hindi), Español, Français, and العربية.
  • Ready-to-use Workflow: I’ve included a downloadable .json template so you can import and test it instantly.

:open_book: You can find the full guide here:

:backhand_index_pointing_right: GitHub: n8n-local-llm-ollama-guide

:rocket: What’s inside?

  1. Simple setup for Ollama on Windows/Mac/Linux.
  2. How to expose Ollama’s API for n8n.
  3. n8n HTTP Request node configuration.
  4. Hardware optimization tips for 4GB, 8GB, and 16GB+ RAM.

I’d love to hear your thoughts! If you have built any cool local AI workflows, please share them here. If you find the guide helpful, feel free to give it a :star: on GitHub!

ollama #LocalLLM #SelfHosted ai #Automation

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It’s a good start

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The multilingual packaging is a nice touch - that’s an often-overlooked barrier for community adoption. One thing worth adding to the guide is a note about setting OLLAMA_HOST=0.0.0.0 when n8n is running in Docker, since by default Ollama only binds to localhost and that catches a lot of people off guard.

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