Transform your AI apps from static tools into dynamic workflows. Integrate them with automated scenarios using our library of 400+ pre-built connectors. Trigger apps optimally and utilize outputs for autonomous actions.

In this tutorial we have investigated the basic building blocks of an AI workflow, added an AI Agent and a chat model, and adjusted the prompt to get the kind of output we wanted. We also added memory so the chat could retain context between messages.

Flexible AI workflow automation for technical teams. Build with the precision of code or the speed of drag-n-drop. Host with on-prem control or in-the-cloud convenience. n8n gives you more freedom to implement multi-step AI agents and integrate apps than any other tool.

Feb 10, 2025 · This guide explains the fundamentals of AI agents and shows you how to build them using n8n, with practical examples for software developers.

The examples cover common use cases and highlight different features of advanced AI in n8n. Agents and chains Learn about agents and chains in AI, including exploring key differences using the example workflow.

Dec 27, 2024 · Learn how to implement intelligent, adaptive AI agentic workflows in n8n. Grab free n8n workflow templates! From single agents to multi-agent teams: discover key patterns for advanced automation!

Oct 10, 2024 · Are you ready to unlock the full potential of AI Agents in n8n? In this comprehensive n8n AI tutorial, we dive deep into how to use AI in n8n to create advanced workflows without any coding experience.

Understand how n8n's `$fromAI()` function works and how to use it to dynamically populate parameters for AI app tools, or use the built-in automation to complete them instead.

Jan 15, 2025 · David Ondrej shares a step-by-step tutorial on building AI agents, starting with the basics of how n8n works and progressing all the way to creating advanced agentic workflows.

Jan 9, 2025 · Harnessing the power of RAG (Retrieval-Augmented Generation) and vector databases for AI-powered automation. Creating custom tools and integrating them into workflows to build smarter AI agents. Advanced concepts like webhooks, error handling, and scaling workflows for real-world automation.