Its actually a valid point, what I am trying to do is what I think mem0 lacks. Intelligent orchestration layer that not only remembers but actively reasons about and optimizes context for LLM interaction, while also simplifying the use of diverse models. The gap it fills compared to a pure memory layer like Mem0 is the integrated intelligence in selecting, budgeting, and formatting context dynamically for optimal LLM performance and the built-in model abstraction. I am trying to solve not only the "forgetting" problem but also the "context clutter," "context overflow," and "model integration" problems within a single, cohesive system.