Description
In our system architecture, the relationship between cognitive_engine and memory closely mirrors that of a user-space application and the OS kernel's memory management.
Currently, we convert absolute event_ids (UUIDs) into short aliases (e.g., REF-1) before passing them to the LLM. This process is analogous to an OS Memory Management Unit (MMU) translating Physical Addresses into Virtual Addresses to provide a limited, safe context window for the application.
The Problem (Responsibility Leakage)
Presently, the cognitive_engine (the "application") holds the alias_map and performs the translation (aliasing and de-aliasing) itself.
In a proper OS architecture, a user-space application should never manage its own page tables or perform physical-to-virtual address translations. Having this logic inside cognitive_engine constitutes a clear responsibility leakage, tightly coupling the pure inference pipeline with memory address resolution mechanics.
Proposed Solution
We need to relocate the alias mapping responsibility outside of the cognitive_engine to act as a proper MMU.
- Relocate Mapping Logic: Move the
alias_map generation and the UUID ↔ Alias translation logic into the kernel_mediator (or the memory facade).
- Transparent Input/Output: The
cognitive_engine should receive context data that is already mapped to aliases (Virtual Addresses). It should output its causal_links using those aliases without knowing the underlying UUIDs.
- Intercept and Translate: The
kernel_mediator will intercept the LLM's output, translate the aliases back to the real UUIDs (Physical Addresses), and pass them to the memory module for storage.
Benefits
- Enforces strict Separation of Concerns (SoC).
cognitive_engine becomes a purer, stateless inference pipeline.
Description
In our system architecture, the relationship between
cognitive_engineandmemoryclosely mirrors that of a user-space application and the OS kernel's memory management.Currently, we convert absolute
event_ids (UUIDs) into short aliases (e.g.,REF-1) before passing them to the LLM. This process is analogous to an OS Memory Management Unit (MMU) translating Physical Addresses into Virtual Addresses to provide a limited, safe context window for the application.The Problem (Responsibility Leakage)
Presently, the
cognitive_engine(the "application") holds thealias_mapand performs the translation (aliasing and de-aliasing) itself.In a proper OS architecture, a user-space application should never manage its own page tables or perform physical-to-virtual address translations. Having this logic inside
cognitive_engineconstitutes a clear responsibility leakage, tightly coupling the pure inference pipeline with memory address resolution mechanics.Proposed Solution
We need to relocate the alias mapping responsibility outside of the
cognitive_engineto act as a proper MMU.alias_mapgeneration and the UUID ↔ Alias translation logic into thekernel_mediator(or thememoryfacade).cognitive_engineshould receive context data that is already mapped to aliases (Virtual Addresses). It should output itscausal_linksusing those aliases without knowing the underlying UUIDs.kernel_mediatorwill intercept the LLM's output, translate the aliases back to the real UUIDs (Physical Addresses), and pass them to thememorymodule for storage.Benefits
cognitive_enginebecomes a purer, stateless inference pipeline.