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n8n vs Relevance AI: Which Should You Choose?

Both are workflow automation agents, but they are built for different people. Here is the honest split.

n8n

by n8n GmbH

Higher score
4.5★★★★★

A source-available workflow automation platform with AI agent nodes you can self-host and own outright.

Relevance AI

by Relevance AI

4.1★★★★★

Build a workforce of specialised AI agents that work together, with no engineering required.

Side by side

n8n vs Relevance AI at a glance

Feature and pricing comparison of n8n and Relevance AI
 🔗 n8n🤝 Relevance AI
Editor score4.5★★★★★4.1★★★★★
Vendorn8n GmbHRelevance AI
AutonomySemi-autonomousSemi-autonomous
DeploymentSelf-hosted, Cloud, On-prem, APICloud, API
Starting priceFree tierFree tier
Pricing modelFree self-hosted (fair-code); cloud priced per workflow executionSubscription tiers with monthly credit allowances
Free tierYes — unlimited self-hosted community editionYes — a small monthly credit allowance
Integrations11 native8 native
Best forTechnical ops and automation engineersGo-to-market and RevOps teams

Decision

Which one should you pick?

Choose n8n if…

  • Technical ops and automation engineers. The ideal user. Comfortable with APIs, JSON and a bit of JavaScript, and rewarded with almost unlimited flexibility.
  • Teams with data residency requirements. Self-hosting means customer data never leaves your infrastructure except for model calls — and you can point those at a local model too.
  • High-volume automation on a budget. Self-hosted execution is effectively free at the margin, which beats every per-task competitor at scale.

Skip it if: Steeper learning curve than no-code competitors is a dealbreaker for you.

Choose Relevance AI if…

  • Go-to-market and RevOps teams. The core audience. Lead research, qualification and personalised outreach is where the product is deepest.
  • Ops teams wanting agents without engineers. The visual builder is capable enough to cover most internal processes without writing code.
  • Developers building custom agent products. Usable via API, but a code-first framework will give you more control for less money.

Skip it if: Credit-based pricing is hard to predict is a dealbreaker for you.

Trade-offs

Strengths and weaknesses

n8n

  • Genuinely free at unlimited volume if you self-host
  • Enormous integration library
  • Mix deterministic steps with agent decision points
  • Steeper learning curve than no-code competitors
  • Self-hosting is real operational work
  • Cloud pricing is less compelling than the free tier suggests

Relevance AI

  • Best no-code route to genuine multi-agent workflows
  • Excellent fit for sales and GTM specifically
  • Approval gates make customer-facing use defensible
  • Credit-based pricing is hard to predict
  • Multi-agent debugging is opaque
  • Fewer native integrations than general automation platforms

FAQ

n8n vs Relevance AI FAQ

Is n8n better than Relevance AI?

On our scoring n8n edges it at 4.5/5 against 4.1/5, but the gap is smaller than the difference in who they suit. n8n is the better choice for technical ops and automation engineers; Relevance AI is stronger for go-to-market and revops teams.

Which is cheaper, n8n or Relevance AI?

n8n: Free tier — free self-hosted (fair-code); cloud priced per workflow execution. Relevance AI: Free tier — subscription tiers with monthly credit allowances. Compare the pricing models rather than the headline numbers; consumption-based plans can overtake a higher flat fee quickly once usage is real.

Can I use n8n and Relevance AI together?

Yes, and plenty of teams do. They share 7 integrations, so both can sit on the same data without duplicated plumbing. The usual pattern is to run each on the work it is strongest at rather than forcing one to cover everything.

What are the main differences between n8n and Relevance AI?

Three things matter most. Autonomy: n8n is semi-autonomous while Relevance AI is semi-autonomous. Deployment: n8n runs self-hosted/cloud/on-prem/api, Relevance AI runs cloud/api. Pricing model: free self-hosted (fair-code); cloud priced per workflow execution versus subscription tiers with monthly credit allowances.

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