What it actually does
Suna AI (Kortix) is an open-source autonomous agent framework. It targets the same role as OpenClaw, with a narrower integration surface and a cleaner-feeling architecture. We deployed it in a sandboxed configuration and stress-tested it against the same task class we used for OpenClaw.
What is good
- Cleaner architecture than OpenClaw, in our reading. Easier to extend.
- Self-hostable without significant friction.
- Active maintenance with a smaller but engaged contributor base.
What is broken or surprising
- Smaller integration surface. If you need the long tail of integrations, OpenClaw covers more ground.
- Deployment cost is comparable to OpenClaw because the model passthrough dominates; the operational labour to run it is similar.
- Newer; less production proof than OpenClaw. Treat the maturity gap as real.
When you would choose it
Pick Suna when you want a cleaner extension surface and the integrations you need are in the supported set. Skip Suna when the integration breadth of OpenClaw is what brought you here.
Cost at scale
Self-hosted; cost is dominated by model passthrough. Cap per-task at the orchestrator. The trend signal (kortix +9,900% YoY) reflects fast adoption, not yet broad production proof.
Read next
Oliver runs Digital Signet, a research and product studio that operates ~500 production sites with AI agents as the engineering layer. The Digital Signet portfolio is built using a continuous AI-agent build pipeline, one of the largest agent-operated publishing operations on the open web. The handbook draws directly from those deployments: real cost data, real failure modes, real recovery patterns.