{"id":126323,"date":"2025-03-31T09:45:26","date_gmt":"2025-03-31T09:45:26","guid":{"rendered":"\/tutorials\/?p=126323"},"modified":"2026-03-10T09:26:41","modified_gmt":"2026-03-10T09:26:41","slug":"how-to-build-ai-agent-with-n8n","status":"publish","type":"post","link":"\/ca\/tutorials\/how-to-build-ai-agent-with-n8n","title":{"rendered":"How to build an AI agent with n8n (Step-by-step guide)"},"content":{"rendered":"

Building an AI agent with n8n<\/strong> lets you automate workflows, connect Large Language Models (LLMs) like OpenAI or Google Gemini, and create intelligent systems that respond to user input. To do this, you’ll set up a workflow with a trigger, add an AI Agent node to serve as the agent’s “brain,” and connect it to an LLM using an API key. You can also extend its capabilities by adding memory<\/strong> for context retention and tools<\/strong> for tasks like searching the web or sending emails. Finally, the agent’s behavior is defined through a system prompt<\/strong>, and you can test it directly in n8n’s chat interface.<\/p>

In this step-by-step guide, we’ll show you how to:<\/p>

    \n
  1. Install n8n on your VPS<\/li>\n\n\n\n
  2. Set up a workflow trigger<\/li>\n\n\n\n
  3. Add and configure the AI Agent node with an LLM<\/li>\n\n\n\n
  4. Define system prompts, memory, and tools<\/li>\n\n\n\n
  5. Test, debug, and refine your AI agent<\/li>\n<\/ol>

    By the end, you’ll have a fully functional AI agent that you can expand and adapt for your own use cases.<\/p>

    \n\n\n\n<\/p>

    Prerequisites<\/h2>

    Before getting started, make sure you have the following:<\/p>