🔐🦙🤖 Private & Local Ollama Self-Hosted AI Assistant

n8n template #2729

Summary

Transform your local N8N instance into a powerful chat interface using any local & private Ollama model, with zero cloud dependencies ☁️. This workflow creates a structured chat experience that processes messages locally through a language model chain and returns formatted responses 💬. How it works 🔄 💭 Chat messages trigger the workflow 🧠 Messages are processed through Llama 3.2 via Ollama (or any other Ollama compatible model) 📊 Responses are formatted as structured JSON ⚡ Error handling ensures robust operation Set up steps 🛠️ 📥 Install N8N and Ollama ⚙️ Download Ollama 3.2 model (or other model) 🔑 Configure Ollama API credentials ✨ Import and activate workflow This template provid

How to set it up

Open template #2729 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create a credential under Credentials → Add credential: Ollama Model. Then open each of those nodes and pick the credential.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "🔐🦙🤖 Private & Local Ollama Self-Hosted AI Assistant" (https://n8n.io/workflows/2729). It uses: Basic LLM Chain, Ollama Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Basic LLM ChainOllama Model

Questions

Yes. Joseph LePage published it free on n8n.io as a verified creator, and it has 45K views. It runs on n8n Cloud or a self-hosted n8n instance.

Ollama Model. The other 1 node are built into n8n.

Similar workflows

NameViews