AI Agents in Zapier vs Make vs n8n: Which Is Best?
· By AI Compare
How Zapier Agents, Make AI Agents and n8n's AI Agent node differ, and which to choose.
What is an AI agent in automation?
A normal automation follows fixed steps. An AI agent gets a goal and a set of tools (send email, search a database, create a task) and decides which tools to use and in what order. All three major platforms now offer agents, but they work differently.
At a glance
| Zapier | Make | n8n | |
|---|---|---|---|
| Agent product | Zapier Agents (separate product) + AI steps in Zaps | AI Agents inside the scenario canvas | AI Agent node inside workflows |
| Tools | Live app actions and data sources (docs, URLs, files) | Scenarios and modules as tools | Any node or sub-workflow as a tool, plus HTTP and code |
| Models | Built-in; AI steps can use ChatGPT, Claude, Gemini | Make's AI provider or your own keys | Any provider: OpenAI, Anthropic, Google, OpenRouter, Ollama (local) |
| Memory | Managed | Managed within agent | Simple, Postgres, Redis and more |
| Vector stores / RAG | Data sources | Via apps | Native: Pinecone, Qdrant, Supabase, pgvector, in-memory |
| Visibility of reasoning | Activity log | Reasoning panel showing decisions and tools | Execution log with every tool call |
| Pricing | Separate activity-based plans (free tier available) | Credits plus tokens | Executions (Cloud) or free self-hosted, plus your model costs |
| Self-hosting / local models | No | No | Yes |
Zapier Agents
Zapier Agents are AI workers you instruct in natural language. They connect to Zapier's large app catalogue, can be started on demand or in the background, and can call other agents. There are around 100 templates for sales prep, lead qualification and support. Agents use their own activity-based pricing, separate from task-based Zaps.
Best for: business users who want an assistant connected to many SaaS apps with minimal setup.
Make AI Agents
Make's agents live inside the same canvas as your scenarios. An agent receives a goal, and your existing scenarios and modules become its tools. A reasoning panel shows what it decided, why and which tools it used, and you can bring your own model keys to control cost.
Best for: teams already on Make who want AI decisions inside visual workflows with good transparency.
n8n AI Agent node
n8n's AI Agent is a node with sub-nodes for the chat model, memory, tools and output parser. Any n8n node, sub-workflow, HTTP request or code can become a tool. It supports RAG natively with many vector stores, works with local models through Ollama, and can expose workflows via MCP.
Best for: technical teams building custom assistants, RAG chatbots, private AI on their own infrastructure, or high-volume AI workflows where per-step pricing would hurt.
Which is best?
| You want… | Choose |
|---|---|
| An assistant across many SaaS apps with no setup | Zapier Agents |
| AI decisions inside visual no-code workflows | Make |
| Custom agents, RAG over your data, local models, lowest cost at scale | n8n |
| Data that never leaves your servers | n8n self-hosted + Ollama |
