n8n vs Make.com for AI Agent Workflows

If you are building AI agent workflows as a solopreneur, two platforms come up in nearly every conversation: n8n and Make.com. Both are visual workflow builders. Both connect to hundreds of services. Both handle webhooks and run automations on a schedule.

But they are built on fundamentally different assumptions about who runs them and how. Choosing the wrong one adds friction at exactly the wrong moments. This guide cuts through the overlap and tells you which one to use for which situation.

Pricing: What You Actually Pay

n8n

Tier	Price	What You Get
Community (self-hosted)	Free	Unlimited workflows, unlimited executions, all features
Cloud Starter	$20/month	2,500 workflow executions/month, 5 active workflows
Cloud Pro	$50/month	10,000 executions/month, unlimited active workflows
Enterprise	Custom	SSO, advanced permissions, SLA

The free self-hosted tier is real. You get the full product, unlimited runs, and every integration. The only cost is hosting, which runs $5 to $10 per month on a small VPS (DigitalOcean, Hetzner, Fly.io).

The cloud tiers are limiting for AI workflows. AI agents can burn through 2,500 executions fast because each node in a workflow counts as an execution. A single agent loop with 10 steps, running 100 times per month, is 1,000 executions.

Make.com

Tier	Price	What You Get
Free	$0/month	1,000 operations/month, 2 active scenarios
Core	$9/month	10,000 operations/month, unlimited scenarios
Pro	$16/month	10,000 operations/month, unlimited scenarios, full execution history
Teams	$29/month	10,000 operations/month, shared team workspace
Additional operations	$9 per 10,000	Pay as you go beyond your plan

Make.com uses "operations" rather than executions. Each module (step) in a scenario counts as one operation when it runs. A 10-step scenario that runs 100 times per month consumes 1,000 operations. The Core plan at $9 per month is a genuine bargain for light to moderate usage.

Key pricing insight: Make.com is cheaper if you stay managed. n8n is cheaper (dramatically so) if you self-host. The crossover point is roughly $20 per month: if you would pay $20 or more for Make.com operations, self-hosted n8n beats it on cost.

Architecture Differences

How n8n Is Built

n8n is open-source, Node.js-based, and designed to be run anywhere. Workflows are stored as JSON. The execution engine is stateful, meaning it can pause mid-workflow, wait for a human approval, or resume after an async operation completes.

For AI agent workflows, this matters because agents often need to:

Wait for a slow API response (LLM inference can take 5 to 30 seconds)
Pause and ask a human to approve an action before proceeding
Retry a failed node without restarting the entire workflow

n8n handles all of these natively. Sub-workflows let you modularize agent logic. Error branches let you catch failures and route them to fallback paths.

How Make.com Is Built

Make.com is fully managed SaaS. You build scenarios in a browser, Make runs them on their infrastructure. The architecture is more linear: scenarios run from left to right, with branches and iterators layered on top.

Make.com is exceptionally good at reliable, scheduled, deterministic automations. Connect Typeform to Notion and Slack? Make does that without any setup overhead. The router module handles conditional logic cleanly.

For AI workflows, Make.com added a built-in Claude/OpenAI module. You can drop an LLM call into a scenario without writing code. The limitation is that Make.com scenarios time out at 40 minutes per execution, and complex agent loops that need to run indefinitely or maintain state across sessions run into structural limits.

What Each Platform Does Best for AI Workflows

n8n Strengths

Long-running agent loops. n8n workflows can run for hours. If your agent needs to crawl a list of 500 companies, enrich each one with an LLM call, and write results to a database, n8n handles this without artificial limits.

Code escape hatches. Every workflow node can include a JavaScript or Python code block. When the visual builder cannot express your logic, you write code. This is critical for AI workflows where prompt construction, response parsing, and conditional branching get complex fast.

Webhook handling at volume. n8n's webhook nodes are fast and configurable. Self-hosted n8n on a dedicated server handles hundreds of concurrent webhook events with sub-100ms response times. The cloud version adds latency because requests route through Make's shared infrastructure first.

Custom AI tools. n8n has an "AI Agent" node that connects directly to LangChain-compatible tool definitions. You can build a real tool-calling agent, define custom functions, and wire the agent to any API in your workflow canvas.

Self-hosted data control. If you process sensitive customer data through your agents, self-hosted n8n means nothing leaves your infrastructure.

Make.com Strengths

Time to first workflow. Make.com's interface is faster to learn. Visual, drag-and-drop, with polished module cards for every major service. A non-technical founder can build a working scenario in under 30 minutes.

Reliability without ops overhead. Make handles uptime, scaling, and infrastructure. Self-hosted n8n means you own the server, the updates, the backups, and the on-call burden when it goes down at 2am.

Operations-based pricing for bursty workloads. If your AI workflows run in bursts (batch processing at end of month, campaign sends, weekly reports), Make's pay-per-operation model scales down to near-zero during quiet periods.

Native integrations for business tools. Make.com has tighter, more polished integrations for mainstream SaaS (HubSpot, Salesforce, Airtable, Google Workspace). Less configuration, fewer edge cases.

Scenario scheduling. Make.com's scheduling UI is more intuitive than n8n's cron configuration. Running a scenario every weekday at 9am takes 3 clicks.

Webhook Handling and Latency

Latency matters for AI agent workflows triggered by user actions (form submissions, Slack commands, Stripe events).

n8n self-hosted: Webhooks hit your server directly. Response time is your server's response time, typically 50 to 150ms to acknowledge, then the workflow runs asynchronously. Very fast.

n8n cloud: Webhooks route through n8n's cloud infrastructure before reaching your workflow. Adds 200 to 500ms of overhead. Fine for background tasks, noticeable for user-facing triggers.

Make.com: Webhooks are received by Make's infrastructure. Instant acknowledgment, then the scenario queues and runs. Queue latency is typically 1 to 5 seconds under normal conditions, and can spike during high-traffic periods on shared infrastructure. Not suitable for user-facing real-time responses.

Bottom line: if a human is waiting for your workflow to complete before seeing a result, self-hosted n8n wins. If the workflow runs in the background and the user does not wait, latency is a non-issue for either platform.

Self-Hosting Trade-offs

Self-hosted n8n on a $6 Fly.io or $5 DigitalOcean Droplet costs almost nothing. The hidden costs are:

Setup time: 1 to 3 hours for initial configuration, SSL, and a PostgreSQL database
Maintenance: Updates drop monthly. Each update requires testing that existing workflows did not break.
Incident response: If the server goes down, your automations stop. You need monitoring (Uptime Robot is free) and a restart policy.
Backups: Workflow data lives in your database. You own the backup schedule.

For a solopreneur who is also a developer, this overhead is manageable. For a non-technical founder, it is a real tax on your time.

Make.com's managed infrastructure eliminates all of the above. You pay more per operation, but you buy back your attention.

Decision Framework

Use n8n if:

You are technical and comfortable running a small server
Your AI agents run long loops (more than 5 minutes per execution)
You need real-time webhook response times (under 200ms)
You process sensitive data and need it to stay on your infrastructure
Your workflow volume is high enough that Make.com operations costs exceed $20 per month
You need custom code blocks inside your workflow logic
You want to build tool-calling agents with full control over tool definitions

Use Make.com if:

You are non-technical or want zero infrastructure overhead
Your workflows are mostly deterministic: trigger, transform, write to destination
You run fewer than 10,000 operations per month (the $9 Core plan covers this)
You want fast setup and polished integrations with mainstream SaaS tools
Your AI usage is additive (one LLM call per scenario, not recursive loops)
Reliability and uptime matter more than cost optimization

The hybrid approach:

Many solo founders use both. Make.com handles the deterministic automations (CRM updates, Slack notifications, email routing). n8n handles the heavy AI agent workflows (research loops, content generation pipelines, data enrichment at volume). The two platforms can trigger each other via webhooks.

Quick Reference Table

Factor	n8n (self-hosted)	Make.com
Starting cost	~$5/month (hosting)	$0/month (free tier)
At moderate volume	~$5/month	$9 to $16/month
Setup time	1 to 3 hours	15 minutes
Long-running agents	Yes	40-minute limit
Webhook latency	50 to 150ms	1 to 5 seconds
Code blocks	Yes (JS + Python)	Limited
Ops overhead	Moderate	None
Native AI agent node	Yes (LangChain)	Basic (LLM call)
Best for	Technical founders, high volume, AI-heavy	Non-technical founders, SaaS integrations, light AI

n8n vs Make.com for AI Agent Workflows: A Practical Comparison