A 4.5B-parameter model decides each agent step, not a giant one.

Long tasks overflow context windows, and the usual fix, compressed summaries, loses detail, APUS says.

A Qwen3.5-based decision model picks each action, and APUS claims 2-3x faster page responses in its own tests.

Developers can test the MIT-licensed code now, but nobody has yet verified it on complex business tasks.

How each outlet framed it
Zhidx leans favorable
emphasizes APUS's pivot from consumer apps to LLMs and claims 2-3x faster page response than rival agents via a 4.5B decision model

Sources: Zhidx