n8n

n8n is what technical operators reach for when Zapier or Make isn't flexible enough. It connects to virtually everything (400+ integrations), can be self-hosted for full data control, and has a native AI agent layer that's matured significantly since 2024. The visual workflow builder handles conditional logic, loops, error handling, webhooks, and custom HTTP calls without writing code — once it's set up. If your team has even one developer who can spend a day configuring it, n8n will outperform any no-code platform for complex multi-step automations involving AI agents.

Real pricing math, since 'n8n AI agent pricing' is the highest-intent query the page is showing for. The headline: **n8n itself doesn't charge per AI agent run if you self-host**. The agent nodes execute on your infrastructure; your only AI-related cost is the model API tokens consumed (Claude, GPT, Gemini, DeepSeek, or whatever you wire up). For typical small-team AI workflows running 1,000–5,000 agent invocations per month on Claude Sonnet 4.6, expect $20–$100/month in model costs. For high-volume customer-support deflection at 50k+ runs/month, expect $200–$500/month in model costs. The n8n platform itself adds zero to that bill on self-hosted.

n8n cloud is the alternative for teams who don't want to operate the server. Plans start at $24/month for hobby usage, $50–$100/month for serious teams with multiple workflows, and enterprise pricing kicks in around $500/month with SSO, audit logs, and SOC 2 compliance. Cloud users also pay model API costs on top of the platform fee. The cost crossover with self-hosted is roughly: if your team would spend $20+/month operating a server (VPS, monitoring, backups, security patches), n8n cloud is competitive. For teams already running infrastructure, self-hosted wins on cost.

n8n vs Make vs Zapier for AI workflows — the comparison most builders end up making. **n8n** has the strongest native AI agent support and the deepest extensibility — custom nodes, JavaScript expressions, HTTP requests to anywhere. The right pick when you're technical and want to own the workflow. **Make** is the middle ground — proprietary but powerful, with a solid AI module and a cleaner UI than n8n. The right pick for teams who want flexibility without managing infrastructure. **Zapier** has the largest integration library and the simplest setup — the right pick when integration count matters more than depth of logic and your AI use cases are limited to drafting or classification. For pure AI agent workflows in 2026, n8n leads on capability and Zapier leads on simplicity; Make is between.

What n8n is genuinely good at: long-running workflows that span many tools. Customer-support deflection that reads from Intercom, queries your knowledge base, drafts a reply on Claude, checks confidence, and either auto-sends or escalates to a human queue in Slack. Sales outreach that pulls leads from HubSpot, enriches via Clearbit, drafts personalised emails on Claude, and tracks responses back into the CRM. Internal ops that monitor a metric, alert on anomalies, and trigger a Linear ticket. The visual workflow builder genuinely handles complexity that would be painful in Zapier and impossible in Lindy without scripting.

What n8n is not good at: pure agentic loops with no external systems involved. If your workflow is 'agent reads a file, makes a decision, writes another file' with no APIs in between, a dedicated harness like OpenClaw, Paperclip, or even a CLI tool like Aider will be faster and simpler. n8n's value is the integration layer; if you don't need it, you're paying for setup overhead with no upside.

When n8n is the wrong pick: if your team has no developer at all, the setup will frustrate everyone. Lindy ships in hours for non-technical operators. If you only need 2–3 steps with one or two integrations, Zapier is faster. If you're building a single high-volume agentic workflow with no integration story, a custom code build or a dedicated harness is more efficient. n8n's sweet spot is the messy middle: 5–15 step workflows that touch multiple tools, run on a schedule or webhook trigger, and benefit from the visual builder for ongoing maintenance.