Published in May 2026

Written by: WiseClaw Architecture Team

Over the past few months, we have been tackling two intertwined challenges.

The first challenge is how to transform medical AI from a mere conversational tool—where the user asks a question and the system provides a single answer—into a system that continuously works to support a person’s long-term health. The second challenge is how to ensure that, in complex clinical scenarios, it no longer pretends to be an “all-knowing doctor,” but instead operates like a real healthcare system: with different roles collaborating and dividing tasks, then integrating the results into actionable conclusions.

These two challenges might seem to fall under “long-term memory” and “multi-agent systems,” respectively, but we ultimately discovered that their underlying solution boils down to a single word: harness.

In Anthropic’s engineering blog, the role of “harness” is to advance Claude from a “model that can write a few lines of code” to a “system capable of…