n8n
Workflow automation on a visual canvas, with code where you need it
1/3n8n is a workflow automation tool built around a visual canvas of connected nodes rather than a linear step builder, with a code node for dropping into JavaScript or Python where the visual approach runs out. Much of its recent work is aimed at AI agents: agent nodes that take tool, memory and model connections, a model selector for routing between providers, and execution logs that make each step of an agent's reasoning traceable on the same canvas. It connects to hundreds of apps, falls back to plain HTTP for anything without a node, and ships a library of over 10,000 community workflow templates. It is source-available under a fair-code licence and can be self-hosted for free, with cloud plans priced by monthly workflow executions rather than per task or per seat.
- Visual canvas of connected nodes, not a linear step builder
- Drop into JavaScript or Python in a code node when needed
- AI agent nodes taking tool, memory and model connections
- Every step of an agent's reasoning traceable on the canvas
- Hundreds of app integrations, plus HTTP for anything else
- Over 10,000 community workflow templates
- Self-host on your own infrastructure, or run on n8n cloud
- Priced by monthly workflow executions, not per task or seat
Based on what people have said
Every answer links back to the mentions it came fromWhy would someone choose n8n over writing custom scripts?
Proponents argue that n8n provides essential infrastructure that is tedious to build from scratch, including visual execution logs, built-in retry logic, error monitoring, and a library of pre-built connectors that handle complex authentication like OAuth. It offers visual clarity that allows non-technical stakeholders to understand and audit processes, whereas custom code can be difficult for others to interpret. Conversely, some developers find n8n bloated or slower than traditional code, arguing that modern AI coding tools can generate equivalent or more efficient scripts without the overhead of a visual platform.
10 mentions · r/n8n · r/n8n · r/AgentsOfAI · r/automation · Aug 2026 – Sep 2026
How does n8n perform when handling large volumes of data?
Experiences are mixed. Some users report that n8n handles large-scale data and high-volume iterations effectively. However, others note that it can struggle with memory management when processing tens of thousands of records, leading to timeouts or performance degradation. Some users recommend offloading heavy join logic or large-scale data processing to a database or custom scripts to avoid these bottlenecks.
Is n8n still relevant in the age of AI coding agents?
There is significant disagreement. Some users believe AI coding tools like Claude Code or Cursor have made n8n obsolete by allowing them to build and deploy custom applications directly. Others maintain that n8n remains highly relevant as a stable orchestrator that separates deterministic workflow logic from probabilistic AI, providing a reliable 'glue' layer that is easier to maintain and monitor than pure AI-generated code.
8 mentions · r/n8n · r/n8nforbeginners · r/n8n · Aug 2026 – Sep 2026
What are the common complaints regarding n8n's reliability?
Users frequently cite 'silent failures' where a workflow appears successful in the UI—such as returning an empty array or showing a green status—while the actual business operation fails to complete. Others report difficulties with webhook authentication, token expiry, and the complexity of managing file paths when running n8n inside Docker containers. Some users mitigate these issues by implementing external health checks, retry queues, and read-back verification steps.
10 mentions · r/selfhosted · r/nocode · r/n8n · r/n8n · r/docker · @tray · Aug 2026 – Sep 2026
How do the costs of n8n compare to other approaches?
Users note that cloud pricing can climb rapidly based on workflow executions, leading many to prefer self-hosting to avoid scaling costs. Some argue that using AI coding agents to build custom infrastructure on a VPS is significantly cheaper than paying for n8n cloud plans, while others suggest that n8n is more cost-effective for high-frequency, repeatable tasks compared to burning tokens on AI agents for every execution.
6 mentions · r/n8n · r/AgentsOfAI · r/n8n · r/n8n · Aug 2026 – Sep 2026
These summarise counts and dates only. Read the quotes themselves under what people are saying.
What people are saying about n8n
43% positive“We used to do the py scripts way already and then I heard of n8n as a lot of people were raving about it, So I wanted to try it out, only to realize this is a dumbed down version of what I was doing anyway. Ended up not doing n8n at all.”
“One practical split is to make the workflow an asynchronous job worker: the backend authenticates the user, writes a job row, then calls the webhook with only the job ID. Return that ID immediately and let the UI read status and results from your backend; don't expose the workflow URL or let the browser talk to n8n directly.”
“I just realised that I prefer n8n because of visibility. Because of UI with automations Inhave, because I have UI to monitor failed executions.”
“It's been a while since I've used N8N”
“Building the workflow takes an afternoon. Owning it for a year is the actual job, and that part looks the same whether you used n8n or wrote the script yourself. The question is whether you want to be the person who gets called when it stops at 6am.”
“To me it's a nice little toy, it 1000x slower than anything I can make via code”
“The script version works great until it fails. Then someone has to find out what failed, where, and how to re-run it and that's the part n8n was actually doing for you.”
“the pricing jump is what keeps me on self hosted. if you're already comfortable with docker it's not much overhead and you dodge the scaling costs entirely”
“n8n is certainly worth it. If you look on YouTube, you will see many content creators promoting the idea that n8n is an outdated tool—suggesting you should abandon it in favor of others like Claude—but the reality is that it remains one of the most powerful tools available.”
“jokes on you - i use pi to write my n8n flows”
“N8n is more of a Freelancer's choice rather than a Job market fit.”
“Saw complaints about sequential processing being slow (500 items = 15 min) and execution pricing climbing fast (€24/mo to €800+). Self-hosting fixes it but adds overhead.”
“I am leaning heavy on Postgres and have handed off some of the n8n to actual scripts as not to slow things down. Right now, I am about to launch - just waiting on my LLC, EIN, bank, stripe.”
“In fact I use Claude/Codex to create and optimize n8n workflows.”
“N8N made a lot of dreams come true. I love it. I'll always love it.”
“I use N8N for what it is and Inngest for similar purpose. My $200 claude code or $200 chagpt doesn't do the job N8N does. I'm hoping to retire N8N ($60 sub) in a few months since i'm paying $99 for Inngest.”
“I’ve always been a visual and hands on learner and n8n made me learn more enjoyably than ever the last year.”
“If you’re making a full app it doesn’t make much sense to even have n8n in the loop. Like someone else said it’s an orchestrator it already has a UI.”
“PostgreSQL owns the state. n8n owns the processes. The admin UI lets humans operate the system.”
“For the average user n8n is way better and cleaner than anything Claude can do with coding. If something doesn’t work the user can debug by click through nodes to understand what went wrong. If Claude made a mistake in the development it is pretty hard for the average user to identify the issue.”
“i'd keep n8n strictly in its lane, automation and orchestration. the moment you start treating it like a backend, things get messy. your webhook hits n8n, it does its processing dance, and then fires the result somewhere your app can actually use.”
“architecture wise why put the database Infront of n8n. the database should be behind it”
“I have an n8n workflow that is already working, and I am now looking at building a web interface for it.”
“A node that runs, returns an empty array and goes green is present in the run data with a success status. Nothing is absent to alert on and no branch went the wrong way.”
“I've found it's much more efficient to keep all of my many automations centralized under one roof and not have to manage a bunch of webapps and docker containers all over the place.”