n8n AI agent builder Build AI agents that work predictably in prod
Source availability, 500+ integrations, and support for code give you the flexibility to connect AI models to your business systems at scale. Human-in-the-loop guardrails and the ability to add pre-defined logic give you the confidence they won’t fail.
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The world's most popular workflow automation platform for technical teams including
Common AI agent use cases Practical agentic workflows for your most important processes
n8n is where traditional workflow automation meets AI. Build production-ready AI agents with the flexibility to scale from simple automations to complex multi-agent systems — without getting locked into a specific framework.
AI agent workflow templates library Where there’s a will, there’s already a workflow
Begin with a proven foundation. Fashion it to fit your use case. Fast. n8n’s library of 600+ community-built templates makes getting started with agentic workflows simple. Even if you’re new to AI.
How to create AI agents in n8n Simple to set up. Proven in prod.
Build agents in no time by connecting modular nodes in n8n’s visual builder. Use conditional logic or insert custom code for extra control where it counts. Build a functional prototype in 4 simple steps.
1. Create AI Agent Node
The core of your AI Agent. This node listens for input from a trigger (typically an On Chat Message). Using the Agent’s settings, you define its behaviour via system prompts. Fine-tune parameters using presets or JavaScript. And even add auth to control access.
Integrations for building AI agents 500+ pre-built nodes. Unlimited possibilities.
n8n isn’t just a chat interface with a brain. It’s an automation engine first. Trigger, act, and complete tasks with your agents across hundreds of LLMs, services, data sources, MCP servers, and even other agents — out of the box.
Why build AI Agents with n8n? Because the ability to control your agents is more than a ‘nice to have’
n8n’s predefined logic, guardrails, monitoring, and hundreds of integrations let you build AI agents that work in production as you’d expect.
Anchor AI in predictable logic
Mix deterministic automation steps with AI to increase reliability. Add human-in-the-loop approval steps when your agent’s decisions need oversight. Implement error handling and fallback logic in case AI actions don’t go as planned. Because you’ll sleep better knowing your AI will stay within its boundaries.
You choose the tools. You make the rules.
Use any LLM or vector store. Tap into pre-built tools for agents or create new ones with the HTTP Request node. Call your n8n workflows from other AI systems using our MCP Server. Export projects to JSON to share, copy, or reuse. Because control of your work shouldn’t come with conditions.
More call control = more cost control
Cut down on AI API calls by adding conditions and filtering unnecessary data before sending requests. Clean and compress text locally using native features. Reuse stored outputs to avoid repeating costly calls. Track token usage in logs to keep an eye on spend. Because controlling costs means scaling with confidence.
Fine-tune based on facts, not guesswork
See how your agents behave with inline logs and visual workflows that let you inspect each step. Catch regressions, monitor drift, and make data-driven decisions on prompt iterations or model changes with Evaluations for AI Workflows. Because pushing to production is only the start of getting it right.
“Yesterday, one of our developers blew our minds by rebuilding a 4-week AI feature in just 10 minutes using n8n.”
Fabian Strunden
AI Product Lead
AI Agent video tutorials Prepare to be AI-mazed
Watch our community’s most popular videos on building AI agents.
Building AI Agents: Chat Trigger, Memory, and System/User Messages Explained
Welcome to Part 1 of the "Building AI Agents" series! In this video, Max shows you how to get started with AI Agents in n8n. You'll learn what AI Agents are and how they differ from LLMs, how to build your first interactive chat-based Agent using the Chat Trigger and AI nodes, how to configure memory for contextual conversations, and how to write effective prompts. Finally, you’ll see how to activate and share your Agent using n8n’s chat UI.
I Built the Ultimate Team of AI Agents in n8n With No Code (Free Template)
In this video, I build the ultimate AI personal assistant using a team of AI agents! A centralized assistant manages four specialized sub-agents, each handling a specific area—making the system more efficient and scalable. This approach ensures that no single agent gets overwhelmed with tasks and tools, leading to better automation and smarter decision-making.
All of this is built in n8n using no code! Watch to see how it works.
How To Build a Startup Team of AI Agents (n8n, OpenAI, FeedHive)
This video demonstrates how to build a startup team of AI agents to replace human labor, empowering solopreneurs without sacrificing output or revenue. It focuses on automating content creation by fine-tuning an AI model with custom data and coordinating AI agents in n8n to produce on-brand, high-quality content.
From Zero to Your First AI Agent in 25 Minutes (No Coding)
If you're new to AI agents, this is the perfect place to start. In just 25 minutes, you'll learn exactly what an AI agent is, how it differs from traditional automations, and how to build one from scratch using n8n — no coding required. We’ll cover the core components of agent systems, how to set up guardrails, how agents interact with APIs, and what kinds of tools they can use. By the end, you'll have a working AI agent that can think, remember, and take action — and a clear understanding of how to build more. This is a hands-on, beginner-friendly guide designed to take you from zero to a working agent with practical, real-world applications.
SanctifAI embeds human intelligence into AI processes 3X faster than Python
The challenge
SanctifAI, a leader in Human-AI collaboration, needed to find a way for human workers in 400+ workforces to easily complete tasks as part of AI workflows. The solution had to be scalable and highly composable. The team didn’t want to build from scratch or maintain an in-house codebase.
The solution
Read moreAfter rejecting less flexible Langchain tools, SanctifAI spun up its first n8n workflow in just 2 hours, thanks to n8n’s visual builder and routing systems. That’s 3X faster than writing Python controls for LangChain. n8n’s visual UI eliminated the constraints of scarce engineering talent and budget to build solutions. SanctifAI now trains product managers to build and test directly.
"There’s no problem we haven’t been able to solve with n8n.”
We’re having so much fun with n8n. It’s like playing a game, but we’re actually building powerful tools for our customers.
Nathaniel Gates
CEO
