Most AI products nowadays are essentially just models with a user interface; their functionalities seem complete but in reality, many elements are missing.

For example, how to collect data, how to record user history, how to maintain logical coherence across multiple tools—these seemingly minor details actually determine the ceiling of the entire system.

What Vanar is doing is filling in these gaps: information capture, memory mechanisms, and cross-tool reasoning capabilities. It sounds simple, but implementing it requires considering many technical details.

myNeutron has validated the feasibility of the memory layer with actual products, while Kayon applies this logic to a broader range of scenarios. This layered approach is indeed much more reliable than simply stacking functions.