👾 No-Code AI Agent Tools: Make vs n8n. Which One Is Better?

Welcome to Edition #3 of Agents Made Simple

In a weekly interval, new AI models are dropping. Last week, I noticed that ChatGPT became really good at coding. In benchmarks already ahead of Claude’s sonnet-3.7 which was the flagship model when it comes to solving math and coding problems.

In my workflows, I noticed that o4-mini doesn’t start coding everything right away. It asks questions in between to adjust the direction. Claude doesn’t stop in between and often messes things up, even when providing context.

This week’s topics:

• GPT-o3 and o4-mini new capabilities

• Build AI agents within Make automation

• Startup Mechanize aims to automate all work with AI agents

• Make vs. n8n AI agent capabilities

• Run and deploy LLMs via API on Replicate

• Plus investments, posts, AI tools, and resources

AI Agent News Roundup

💥 Breakthroughs

📈 Investments¹

🏭 Nvidia announced a partnership with TSMC and Foxconn to begin chip and supercomputer production in Arizona and Texas, Nvidia’s first-ever U.S. factory.

📩 Amazon CEO Andy Jassy said in his annual shareholder letter that “Generative AI is going to reinvent virtually every customer experience we know”.

👥 OpenAI CEO Sam Altman said that ChatGPT’s user base is “growing very rapidly,” doubling in just a few weeks to around “10% of the world,” roughly around 800M to 1B users.

🥇 Apple took the first place in global smartphone sales for Q1 2025, capturing 19% market share. Apple also produced $22B worth of iPhones in India in 2024, increasing production by 60% and moving parts of the production away from China.

👾 Microsoft announced it’s adding computer use capabilities to Copilot Studio, enabling users to create agents capable of UI tasks across desktop and web apps.

Make AI Agent vs n8n AI Agent Node: A Comparison

In this comparison, we examine how Make.com and n8n enable building AI agents that act autonomously and integrate with existing systems.

Both tools are no-code automation builders that allow non-developers connect different apps with each other. We explore their setup, tool integration, workflow design, hosting, pricing, and use cases.

Make offers a polished no‑code visual builder with centralized agent management, while n8n delivers open‑source freedom, LangChain support, and self‑hosting options.

Overview of AI Agents

Make defines agents as entities with a system prompt and connected “tool” scenarios that they can invoke to reach goals. Important to note is that this feature is currently in beta which usually means there could be unexpected bugs - not ideal for a production setup.

In n8n, an AI Agent is represented similarily. You can connect a model, a memory and one or more tools that the agent can access.

Agent Creation & Configuration

On Make, users start by navigating to the AI Agents section, naming the agent, writing its role description, and connecting an LLM provider like OpenAI with an API key.

They then add tool scenarios – self‑contained workflows.

In n8n, users place an AI Agent node in a workflow, attach tool sub‑nodes (one per external service), and configure their model credentials and tool schemas directly in the canvas.

Tool Integration & Ecosystem

Make supports over 2,000 standard apps as tools that agents can call within scenarios. But you can’t connect single apps directly. You can only connect scenarios you built before.

n8n integrates its AI Agent node with 422+ apps and services via LangChain tooling, and offers community‑curated templates for common use cases like WhatsApp chatbots or web scraping. You can connect apps directly or other n8n workflows you built before.

AI Model Support & Flexibility

Make lets users connect to various LLM providers – OpenAI, Azure OpenAI, Claude, etc. – by entering respective API keys, all managed centrally per agent.

It treats every agent uniformly, with no distinct “agent types” to choose.

n8n supports multiple chat models – OpenAI, Anthropic, Groq, Mistral Cloud, and Azure – via its Tools Agent, offering enhanced output parsing and LangChain‑style tool interfaces.

Hosting & Deployment Options

Make AI Agents operate entirely in Make’s cloud environment, with agents and scenarios managed through the Make web app.

In contrast, n8n can run on n8n Cloud under paid plans or self‑host freely using the community edition, giving full control over data and infrastructure.

Pricing & Cost Considerations

Make’s plans are tiered by operation count; AI Agents feature is included on paid plans, and costs scale with usage and scenario runs.

n8n Cloud starts at $20 per month (annually billed) for 2.5k executions, unlimited steps, and five active workflows, with unlimited self‑hosted use at no platform fee.

Both platforms incur separate API usage fees for LLM calls, typically a few cents per query when using OpenAI models.

Conclusion & Recommendations

Choose Make.com if you value a refined no‑code builder, visual agent canvas, and centralized management in a fully managed SaaS.

Opt for n8n when you need open‑source flexibility, self‑hosting, advanced LangChain integrations, and customized workflows with granular control.

Both platforms dramatically reduce time to market for AI‑driven automation and empower technical teams to deliver intelligent solutions.

Tool Spotlight

👾 Run and Deploy LLMs via API with Replicate

Replicate.com lets you run and deploy open‑source AI models through a simple cloud API. You can generate images, text, video, audio, and speech with one line of code.

It supports Node.js, Python, and any HTTP client. You can even package your own model using Cog and deploy at scale. It works seamlessly with AI agent frameworks to call models as tools.

How to Generate Anything via API and Use It as a Tool for AI Agents

You call Replicate’s HTTP API to create predictions for any model version with your inputs. Each model has an endpoint under models.owner/modelname, and you simply send a POST request with JSON inputs.

The API returns a prediction ID that you poll until completion, then retrieve the output. Official SDKs in Python and Node wrap these calls into replicate.run methods.

You only pay for compute you use, with auto‑scaling infrastructure handling demand.

Community Highlights

Made By Agents Updates

Trending AI Tools

🐝 Beehiiv: An all-in-one newsletter platform featuring AI tools like writing assistance, image generation, and translation to streamline content creation.

🕷️ Crawl4AI: An open-source, high-speed web crawler optimized for AI applications, enabling efficient data extraction for large language models and data pipelines.

🔀 Replicate: A cloud-based platform that allows developers to run and deploy LLMs via API without managing infrastructure.

More Resources

Blog: AI-driven business automation and practical strategies for growth
AI Tool Collection: Discover and compare the perfect AI solutions
Consultancy: I help you solve your problem or discover AI potential
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See you next time!

Tobias from MadeByAgents

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