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Comparison

n8n vs Relevance AI

n8n and Relevance AI side by side, from the same structured data our advisor scores against. Where we have no verified information the table says so.

Tooln8nRelevance AI
PriceOpen source, free to self-hostPricing information is currently unavailable.
Free planFree to useFree plan
Best for
  • Developers who need code steps alongside visual automation nodes
  • Teams with data residency requirements who need to self-host
  • Technical users building multi-step AI agent workflows
  • Operations and growth teams building structured multi-step agent workflows
  • Teams that want a library of templates to get agents running quickly
  • Organisations deploying several specialised agents that work together
Ease of useTakes some experienceTakes some experience
Key features
  • Visual node-based flow builder
  • JavaScript and Python code nodes
  • AI agent nodes with tool calling and looping
  • Self-hostable on any server or container
  • Hundreds of built-in service integrations
  • No-code agent builder with tools and reasoning logic
  • Multi-agent team builder with handoffs
  • Pre-built templates for sales, support and content tasks
  • Knowledge base and file search for agents
  • API and code tool steps
IntegrationsSlack, GitHub, Google Workspace, Postgres, MongoDB, Airtable, WebhookHubSpot, Salesforce, Slack, Gmail, Airtable, Webhook
APIAvailableAvailable
Skill levelIntermediate, AdvancedIntermediate, Advanced
PlatformsWeb, Command line, APIWeb, API
Main advantages
  • Self-hosting removes per-task cost at high automation volumes
  • Code nodes handle transformations that visual-only tools cannot
  • AI agent nodes enable multi-step reasoning without custom model hosting
  • Structured agent logic reduces unpredictable behaviour compared to open-ended chat agents
  • Template library gets teams to a working agent faster
  • Multi-agent orchestration handles complex, split workflows
Main disadvantages
  • Self-hosted version requires server maintenance and updates
  • Steeper setup compared to fully managed SaaS tools
  • Requires more setup time than simple automation tools for straightforward tasks
  • Agent quality depends on how well tools and prompts are defined
Data checkedChecked October 4, 2026Checked October 4, 2026
Try n8nTry Relevance AI

Which one to choose

Choose n8n if

  • Developers who need code steps alongside visual automation nodes
  • Teams with data residency requirements who need to self-host
  • Technical users building multi-step AI agent workflows

Read review

Choose Relevance AI if

  • Operations and growth teams building structured multi-step agent workflows
  • Teams that want a library of templates to get agents running quickly
  • Organisations deploying several specialised agents that work together

Read review