n8n-ai-automations and N8N-AI-Agents-Masterclass

These are complements: one provides a curated collection of production-ready n8n workflow templates for AI automation, while the other is an educational masterclass guide teaching the fundamental concepts and step-by-step methodology needed to build similar workflows from scratch.

n8n-ai-automations
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Maintenance 10/25
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Maturity 7/25
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Maintenance 6/25
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Community 20/25
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Stars: 54
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License: MIT
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About n8n-ai-automations

lucaswalter/n8n-ai-automations

Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.

The repository provides production-ready n8n agent blueprints that combine LLM reasoning with specialized tool integrations—including Firecrawl for web scraping, HeyGen for video generation, OpenAI/Gemini for content creation, and native connectors to Gmail, Google Sheets, WhatsApp, and Meta Ads Library. Agents handle domain-specific workflows like dental appointment scheduling via voice, automated Meta ad audits with inline creative analysis, and multi-step marketing content pipelines (newsletter generation → image creation → short-form repurposing). Built on n8n's agentic node system, these templates demonstrate practical patterns for voice agents, chatbots, and autonomous task execution across business verticals.

About N8N-AI-Agents-Masterclass

ChinmayKaitade/N8N-AI-Agents-Masterclass

Learn n8n workflow automation with AI Agents 🤖 | Step-by-step guide to build no-code workflows, automate tasks, and create intelligent pipelines 🚀 | Integrate OpenAI, Hugging Face, LLMs, and external APIs 🌐 | Master chatbots, data automation, and smart workflows using n8n. 🧠

Structured as a 30-day progressive curriculum with daily modules covering n8n node types, RAG systems, MCP server integration, and voice/WhatsApp agent implementations. Includes exportable JSON workflow examples and credential setup guides (Airtable, OpenAI) alongside theoretical notes, enabling learners to build end-to-end agents from basic automation to advanced retrieval-augmented generation architectures.

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