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transformers - 💡(How to fix) Fix ​[Feature Proposal] Cognitive Weighting Protocol: Hierarchical context management to mitigate "Contextual Drift" in long-running sessions.

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Context: Long-context LLM sessions suffer from "drift," where tactical/procedural data overwhelms foundational architectural constraints. ​The Proposal: A hierarchical weighting protocol at the LLM integration layer (middleware): ​Foundational Layer: Fixed high-weight context (Static/Blueprint). ​Strategic Layer: Summarized/Inferred context (Dynamic). ​Tactical Layer: Transient buffer (Auto-flushed). ​I believe integrating this into existing memory modules would significantly improve reasoning stability for autonomous agents. ​Call for discussion: How can we implement this as a standard middleware layer rather than prompt-based constraints?

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