How Agent Harness is moving from extensible to self-growing

On October 3, 2026, Juejin published an article titled "From Pi to DSH: How Agent Harness Moves from Extensible to Self-Growing," which argues that the competitive focus in Agent systems is shifting and traces that shift through the evolution from Pi to DSH.

The article's claim is that as large model capabilities keep improving, the question the industry used to care about was whether a model could understand a task, call tools, and write code. The more important question, it says, has gradually become whether the system outside the model can provide an extensible runtime environment for an Agent. In other words, attention moves away from the model itself and toward the system that hosts the Agent. The piece uses the evolution from Pi to DSH as its example to describe how Agent Harness heads toward "self-growth."

The reporting material does not define Pi or DSH, give release dates, describe their features, or provide any timeline or figures along that path, so none of those points can be verified from what is available.

At the point where the material stops, the article's text is cut off mid-sentence — "whether the system outside the model can provide an Agent with a ..." — and the rest of the argument is not included. So far this is the only report available on the subject.