n8n vs Relevance AI

A side-by-side look at n8n and Relevance AI — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

n8nRelevance AI
SummaryOpen-source workflow automation with first-class AI nodes.Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops.
PricingOpen SourceFreemium
CategoryAutomationAI Agents
PlatformsWeb, Self-hostedWeb, API
Key features
  • 400+ Integrations
  • AI Agent Nodes
  • Self-Hosting
  • Code Nodes
  • Webhooks
  • No-code/low-code agent builder
  • Multi-model routing (Claude, GPT, Gemini and others) by cost/performance
  • Multi-agent orchestration into coordinated workforces
  • Evaluation framework tracking live pass rates and drift
  • Real-time tracing, audit logs, human-in-the-loop approvals and cost visibility
  • 2,000+ integrations (Salesforce, HubSpot, Gmail, Slack, Databricks, Snowflake)
Pros
  • Self-hostable
  • Powerful AI nodes
  • Fair-code license
  • Great community
  • No-code/low-code builder with multi-model routing (Claude, GPT, Gemini) instead of vendor lock-in
  • Genuine free tier (200 Actions/month) — rare among enterprise-grade agent platforms
  • Real production governance: tracing, audit logs, human-in-the-loop approval and cost visibility
  • 2,000+ integrations cover most existing sales, CS and ops stacks
  • Enterprise trust signals — customers include Canva, KPMG, Databricks, Autodesk and Confluent
Cons
  • Steeper learning curve than Zapier
  • Self-hosting requires ops effort
  • September 2025 pricing overhaul split billing into Actions + Vendor Credits, which reviewers say makes real cost harder to predict at scale
  • Action overages and retry billing have caught some teams off guard on their first high-volume billing cycle
  • Shared workspace model makes credential isolation difficult for agencies managing multiple client environments
  • Some users report slow or impersonal customer support response times
  • Real learning curve to build and maintain reliable multi-step agents

Which one should you choose?

n8n

Best for: Open-source workflow automation with first-class AI nodes.

Relevance AI

Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.

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Read the full n8n review

n8n is a fair-code workflow automation platform that has become the default choice for building AI agents and RAG pipelines you actually control. Its AI nodes, code steps and 400+ integrations let you wire together LLMs, vector stores and business apps without vendor lock-in. Self-hostable, extensible and used seriously in production.

Read the full Relevance AI review

Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.