awesome-n8n-templates and N8N-AI-Agents-Masterclass

These two projects are complementary resources, with the awesome-n8n-templates offering ready-to-use workflows, and N8N-AI-Agents-Masterclass providing a step-by-step guide to building those workflows with AI agents.

Maintenance 20/25
Adoption 10/25
Maturity 15/25
Community 25/25
Maintenance 6/25
Adoption 8/25
Maturity 15/25
Community 20/25
Stars: 20,050
Forks: 5,652
Downloads:
Commits (30d): 8
Language:
License:
Stars: 54
Forks: 28
Downloads:
Commits (30d): 0
Language: HTML
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-n8n-templates

enescingoz/awesome-n8n-templates

280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.

Templates are imported as JSON workflow files directly into n8n's visual editor, leveraging the platform's node-based architecture to connect disparate APIs without custom code. The collection spans 18 categories organized by use case and integration type, enabling users to quickly assemble multi-step automations combining triggers (webhooks, schedules, polling), data transformation, and actions across 400+ supported services including LLMs, databases, and communication platforms.

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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