Agent builders

Kavela vs Relevance AI

Relevance AI is a hosted platform for building AI agents and multi-agent teams through a visual interface. Kavela builds the agent conversationally: you describe what you want and a builder agent assembles it. Both host and run the result; the difference is whether you configure it or describe it.

What Relevance AI is good at

  • A polished visual interface for assembling agents and teams.
  • Hosted execution with no infrastructure to manage.
  • Clear structure for users who prefer configuring over describing.

Where Kavela works differently

  • The build is a conversation with a builder agent rather than a configuration interface.
  • Two mutually exclusive credential layers, so an agent's users can each bring their own accounts.
  • Runs continue server-side after the browser tab closes.

Which one should you pick?

Pick Relevance AI if

You prefer a visual interface and want to see and set every option yourself.

Pick Kavela if

You would rather describe the outcome than configure the parts, or you need per-user credentials on a published agent.

Build an agent

The fastest way to settle this

Reading about a team takes longer than having one. Open a workspace on the free plan, tell Kav what you want done this week, and watch which specialists it puts on the job and what comes back. Ten minutes settles what a comparison page can only argue about.

Other comparisons