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 agentThe honest version
Kavela is early. It is bootstrapped and small, and not everything is built. If the comparison above made Relevance AI sound like the better fit for your case, it probably is. The fastest way to settle it is to describe an agent and see what gets built in a few minutes.