Memory architecture research
Memory Lake.
Memory Lake investigates how intelligent systems retain and reuse context across a continuing body of work. The research considers the boundaries between source records, interpreted knowledge, and operational history, with attention to provenance and change over time. Its architectural focus is the relationship between what is stored, how it is retrieved, and the decisions it informs.
How should persistent context remain traceable as systems and information change?
Key questions include what a record represents, which source supports it, and how revisions affect later interpretations. A memory architecture would need to distinguish current context from superseded or conflicting information, while preserving enough history to examine a decision or recover after interruption. Evaluation could consider whether retrieved material is relevant to a task, whether its provenance is inspectable, and whether changes can be incorporated without silently altering the meaning of earlier work.
Connected research.
The proposed relationship with Cognitive CPU concerns the context available to reasoning; with General Organ Runtime, the record of execution and feedback. OCF-64 explores a separate physical storage direction for long-term continuity.
Public conceptual overview. Research connections describe areas of study.