Use the AI Agent Node with Tools for Autonomous Multi-Step Tasks

The AI Agent node gives a model access to tools, which are other n8n nodes it can invoke on its own to reach a goal. The agent decides which tools to call, in what order, and how to combine the results, which makes it suitable for open-ended research and multi-step tasks. Set Max Iterations to prevent runaway loops.

What is the AI Agent node?

The AI Agent node goes beyond single-prompt LLM calls. It gives the model access to tools (other n8n nodes) that it can invoke autonomously to accomplish a goal. The agent decides which tools to call, in what order, and how to combine results -- making it suitable for open-ended research, data gathering, and multi-step processing tasks.

Real-world example: A research agent that takes a company name, searches the web for recent news, summarizes findings, and saves a briefing document to Google Docs.

How do you configure an AI Agent with tools?

Workflow structure:

[Webhook: company_name] → [AI Agent] → [Respond to Webhook]
                              │
                    Tools connected:
                    ├── HTTP Request (web search API)
                    ├── HTTP Request (fetch article content)
                    └── Google Docs (create document)

AI Agent node configuration:

Setting	Value
Agent Type	Tools Agent
Model	Claude Sonnet or GPT-4o
Max Iterations	10

System prompt:

You are a company research assistant. When given a company name:

1. Use the web_search tool to find 3-5 recent news articles about the company.
2. Use the fetch_article tool to get the full text of the top 2 results.
3. Synthesize a briefing with these sections:
   - Company Overview (2-3 sentences)
   - Recent Developments (bullet points from articles)
   - Key Takeaways (3 bullets)
4. Use the save_to_docs tool to create a Google Doc with the briefing.

Be thorough but concise. Cite sources with URLs.

Tool sub-workflows connected to the agent:

// Tool: web_search — wraps SerpAPI or similar
// Input schema: { "query": "string" }
// Returns: array of { title, url, snippet }

// Tool: fetch_article — wraps HTTP Request + HTML extraction
// Input schema: { "url": "string" }
// Returns: { content: "article text" }

// Tool: save_to_docs — wraps Google Docs node
// Input schema: { "title": "string", "body": "string" }
// Returns: { doc_url: "https://docs.google.com/..." }

How do you keep the agent from running away?

Tip: Set Guardrails Always set Max Iterations to prevent runaway loops. Start with 10 and adjust based on task complexity. Add a timeout using the workflow settings as a secondary safeguard.

The AI Agent turns n8n from a linear automation tool into a platform for building autonomous AI assistants.

Related: Use Manual Trigger During Development Instead of Webhook or Schedule · Flatten Deeply Nested API Responses