Project Title

self-hosted-ai-starter-kit — A comprehensive open-source template for setting up a local AI environment with essential tools for secure, self-hosted AI workflows.

Overview

The 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 n8n, 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.

Key Features

Self-hosted n8n platform with over 400 integrations and advanced AI components
Integration with Ollama, a cross-platform LLM platform to install and run the latest local LLMs
Qdrant, an open-source, high-performance vector store with a comprehensive API
PostgreSQL, a powerful database for handling large amounts of data securely

Use Cases

Building AI Agents for scheduling appointments
Summarizing company PDFs securely without data leaks
Creating Smarter Slack Bots for enhanced company communications and IT operations
Private financial document analysis at minimal cost

Advantages

Quick setup and initialization of a local AI environment
Curated list of compatible AI products and components for seamless integration
Supports various hardware configurations, including Nvidia and AMD GPUs
Pre-configured Docker Compose file minimizes the need for additional installations

Limitations / Considerations

May require significant hardware resources, especially for GPU-based setups
Some components may have specific hardware or software requirements
Mac users with M1 or newer processors cannot expose their GPU to the Docker instance

Hugging Face's Transformers: A state-of-the-art natural language processing library, different from this project as it focuses on NLP models rather than a comprehensive AI environment setup.
Jupyter Notebook: An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text, differing in that it's more focused on interactive computing rather than a full AI workflow setup.
MLflow: An open-source platform for managing the end-to-end machine learning lifecycle, differing in that it's more focused on the lifecycle management of ML projects rather than setting up a local AI environment.

Basic Information

GitHub: https://github.com/n8n-io/self-hosted-ai-starter-kit
Stars: 12,369
License: Unknown
Last Commit: 2025-09-14

📊 Project Information

Project Name: self-hosted-ai-starter-kit
GitHub URL: https://github.com/n8n-io/self-hosted-ai-starter-kit
Programming Language: Unknown
⭐ Stars: 12,369
🍴 Forks: 3,046
📅 Created: 2024-02-23
🔄 Last Updated: 2025-09-14

🏷️ Project Topics

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🎮 Online Demos

n8n.io - Screenshot

📚 Documentation

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self-hosted-ai-starter-kit

Project Description