This repository provides a comprehensive library of over 3,400 n8n AI workflows, designed for rapid prototyping and deployment of AI-powered automations. It targets developers and users looking to build AI bots, RAG pipelines, content generation systems, and data enrichment tools, offering a flexible, scalable, and community-driven approach to automation.

How It Works

The project leverages n8n's visual, node-based workflow automation platform. Workflows are modular JSON files that can be easily imported, extended, and chained. The library supports a wide range of LLMs (GPT, Claude, LLaMA, Mistral, Gemini) and includes nodes for RAG, vector stores, and agent memory. Custom logic can be implemented using included Node.js and Python modules, with a focus on enterprise-grade reliability, error handling, and observability.

Quick Start & Requirements

1. Clone the repository: git clone https://github.com/oxbshw/ultimate-n8n-ai-workflows.git
2. Navigate to the directory: cd ultimate-n8n-ai-workflows
3. Launch n8n: Docker is recommended (docker-compose up -d).
4. Import Workflows: Access http://localhost:5678, select "Import," choose a .json workflow from the /workflows directory.
5. Configure Credentials: Add API keys for LLMs and other services (e.g., X/Twitter, Firecrawl).

Prerequisites include Docker and Node.js. Setup is estimated at under 5 minutes.

Highlighted Details

• Supports 3,400+ modular, production-grade automations.
• Features multi-model support including GPT-4/4.5, Claude 3.5, LLaMA, Mistral, and Gemini.
• Includes capabilities for RAG pipelines, conversational agents, content automation, and data extraction.
• Offers robust error handling, monitoring integrations (Prometheus/Grafana), and secrets management.

Maintenance & Community

The project is open-source and community-driven, encouraging contributions via pull requests and issue reporting. The primary contributor is @oxbshw.

Licensing & Compatibility

Distributed under the MIT License, allowing for broad compatibility and commercial use.

Limitations & Caveats

While the library is extensive, users must manage their own API keys and credentials. Specific workflow performance will depend on the underlying LLM choices and configurations. The project relies on the n8n platform, so users must be familiar with its operation.