Proposal for OpenAI: Hierarchical Chat Segmentation and Controlled Memory Access
Concept Overview
We propose introducing a two-tier chat organization system in ChatGPT: a Main Section (accessible to the model) and a Private Section (fully isolated), with support for hierarchical Sub-sections to provide structured memory and precise access control.
Main Section
ChatGPT has direct access to all sessions within this section, treating them as part of a unified cognitive space. This ensures coherent and context-aware interactions across multiple conversations.
Private Section
Each session is completely isolated from ChatGPT’s processing and memory. The model cannot read, recall, or learn from the contents of this section.
Sub-sections
The sub-section idea, proposed by ChatGPT, enhances the user’s original concept. It enables a hierarchical memory structure, where each sub-section can have its own access and memory rules.
Access Modes
Unified memory — full access to all Main Section data.
Selective memory — access only to chosen sub-sections.
Private mode — memory fully disabled.
Benefits
Transparent, user-controlled memory management.
True separation between public and private contexts.
Efficient organization for multi-topic usage.
Increased model coherence through structured context.
Summary
We propose implementing a two-tier chat system (Main / Private) with hierarchical sub-sections for structured and selective memory control.
Idea by: ChatGPT user
Enhanced and refined by: ChatGPT