I really liked KMP, Koog, and the idea of Client-Side MAS. This is the future!
The industry is currently burning billions on server GPUs, and the trend of moving computations to the Edge (end devices) has already started. Apple Intelligence and local NPUs in Android flagships are just the beginning.
Privacy by Design: For projects involving personal data, privacy is critical. Running everything through server cloud systems is a cost of today's technologies, while doing it through local LLMs and MAS is a killer feature. The data does not leave the device!
Native Concurrency: Python suffers from the GIL and workarounds in asynchrony. In KMP, we get native Coroutines and Flow. Agents in Koog are simply lightweight coroutines that communicate via channels without blocking the app's UI thread. This is elegant and mathematically rigorous.
KMP + Koog is the ideal foundation for Client-Side MAS. Python dominates in AI only because of its historically established ecosystem of mathematical libraries. But for orchestrating agents on the device, it is terrible.
But at the moment, we are hostages to the current stage of technological development and popular trends(