MaxHermes' skill persistence approach of solving context accumulation issue
I found MaxHermes implements skills-creating automation through skills that survive session resets and compound across tasks, eliminating the re-grounding cycle entirely. This is fundamentally a versioning mechanism that I REAL like.
Prompt degradation over long conversations is a context accumulation problem existed long. As context grows, effective patterns get buried under noise and the model's attention distributes differently across the session, requiring constant re-grounding that never fully takes.
I’ve tried many ways to convert prompts into skills to save time on typing, using a method similar to memorization (I’ve believed skills and memory are essentially the same thing).
The architectural alternative is a persistent skill layer that stores effective approaches independently of the conversation context.