What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

Can I build AI agents in n8n for free?

Yes. n8n's Community Edition is free and open-source with unlimited workflow executions. You can self-host it on any server, including free tiers from Railway, Render, or Google Cloud. The only cost is your LLM API key (OpenAI, Anthropic, etc.) — typically $0.01–$0.10 per agent run depending on the task.

What LLMs work with n8n AI agents?

n8n supports OpenAI (GPT-4o, GPT-4o-mini), Anthropic (Claude Sonnet, Claude Haiku), Google (Gemini), and any model available through OpenRouter or Ollama for local inference. You can also mix models within a workflow — use a powerful model for reasoning and a cheaper one for simple tool calls.

What is the difference between n8n's AI Agent and a regular workflow?

A regular n8n workflow follows a fixed sequence of steps — trigger, action, action, done. An AI Agent workflow adds a reasoning layer where the LLM decides which tools to call and in what order based on the input. The agent can loop, retry, and adapt its plan. Think of a regular workflow as a recipe and an agent as a chef who can improvise.

Does n8n support multi-agent systems?

Yes. n8n supports sub-agents using the AI Agent Tool node, where one agent can call another as a tool. You can build hierarchical systems — a main orchestrator agent that delegates to specialist sub-agents for email, calendar, CRM, and other tasks. Each sub-agent can have its own LLM, system prompt, and memory.

How does n8n compare to Zapier for AI agents?

n8n's AI agent capabilities are significantly deeper than Zapier's. n8n offers native Tools Agent nodes with real LLM reasoning loops, memory management, sub-agents, and MCP server support. Zapier's AI features are more limited — primarily AI Actions (single LLM calls) without true agent loops. n8n is also free to self-host, while Zapier's paid plans start at $19.99/month.

n8n AI Agents: Build Agentic Workflows Without Writing Code

Build AI agents in n8n with tool calling, memory, and sub-agents. Step-by-step tutorial with 5 real workflow examples. Free and open-source. 2026 guide.

Frequently Asked Questions

Can I build AI agents in n8n for free?: Yes. n8n's Community Edition is free and open-source with unlimited workflow executions. You can self-host it on any server, including free tiers from Railway, Render, or Google Cloud. The only cost is your LLM API key (OpenAI, Anthropic, etc.) — typically $0.01–$0.10 per agent run depending on the task.
What LLMs work with n8n AI agents?: n8n supports OpenAI (GPT-4o, GPT-4o-mini), Anthropic (Claude Sonnet, Claude Haiku), Google (Gemini), and any model available through OpenRouter or Ollama for local inference. You can also mix models within a workflow — use a powerful model for reasoning and a cheaper one for simple tool calls.
What is the difference between n8n's AI Agent and a regular workflow?: A regular n8n workflow follows a fixed sequence of steps — trigger, action, action, done. An AI Agent workflow adds a reasoning layer where the LLM decides which tools to call and in what order based on the input. The agent can loop, retry, and adapt its plan. Think of a regular workflow as a recipe and an agent as a chef who can improvise.
Does n8n support multi-agent systems?: Yes. n8n supports sub-agents using the AI Agent Tool node, where one agent can call another as a tool. You can build hierarchical systems — a main orchestrator agent that delegates to specialist sub-agents for email, calendar, CRM, and other tasks. Each sub-agent can have its own LLM, system prompt, and memory.
How does n8n compare to Zapier for AI agents?: n8n's AI agent capabilities are significantly deeper than Zapier's. n8n offers native Tools Agent nodes with real LLM reasoning loops, memory management, sub-agents, and MCP server support. Zapier's AI features are more limited — primarily AI Actions (single LLM calls) without true agent loops. n8n is also free to self-host, while Zapier's paid plans start at $19.99/month.