self-hosted-ai-starter-kit

n8n-io/self-hosted-ai-starter-kit is an open-source project by n8n-io: The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.. Indexed here so it can be found — not resold.

It is free. Get it from the upstream repository: https://github.com/n8n-io/self-hosted-ai-starter-kit

From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):

Self-hosted AI starter kit

Self-hosted AI Starter Kit is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment.

Curated by , it combines the self-hosted n8n platform with a curated list of compatible AI products and components to quickly get started with building self-hosted AI workflows.

> Read the announcement

What’s included

✅ Self-hosted n8n - Low-code platform with over 400 integrations and advanced AI components

✅ Ollama - Cross-platform LLM platform to install and run the latest local LLMs

✅ Qdrant - Open-source, high performance vector store with an comprehensive API

✅ PostgreSQL - Workhorse of the Data Engineering world, handles large amounts of data safely.

What you can build

⭐️ AI Agents for scheduling appointments

⭐️ Summarize Company PDFs securely without data leaks

⭐️ Smarter Slack Bots for enhanced company communications and IT operations

⭐️ Private Financial Document Analysis at minimal cost

Installation

Cloning the Repository

Running n8n using Docker Compose

For Nvidia GPU users

> If you have not used your Nvidia GPU with Docker before, please follow the > Ollama Docker instructions.

For AMD GPU users on Linux

For Mac / Apple Silicon users

If you’re using a Mac with an M1 or newer processor, you can't expose your GPU to the Docker instance, unfortunately. There are two options in this case:

1. Run the starter kit fully on CPU, like in the section "For everyone else" below 2. Run Ollama on your Mac for faster inference, and connect to that from the n8n instance

If you want to run Ollama on your mac, check the Ollama homepage for installation instructions, and run the starter kit as follows:

For Mac users running OLLAMA locally

If you're…