Feature Proposal: Expand ChatGPT memory into 9 structured categories for better usability

ChatGPT Use cases and examples
1

Current ChatGPT memory lacks structure, making it difficult for users to edit, organize, or reference specific types of information. I propose implementing a 9-category memory framework to make memory more modular, user-friendly, and secure.

Proposed Memory Categories:

  1. AI Configuration & Output Rules
    – Protocols, constraints, generation behavior, structural principles

  2. Character Settings
    – Role identity, tone, language persona, fictional or assistant roles

  3. Long-term Goals
    – Research objectives, large-scale projects, strategic visions

  4. Short-term Tasks
    – Weekly actions, pending decisions, micro-instructions

  5. Scheduled Events
    – Time-specific actions, deadlines, upcoming meetings

  6. Thought Logs / Result Records
    – Past reasoning chains, constructed models, outcome records

  7. User-defined Category A (Optional)

  8. User-defined Category B (Optional)

  9. User-defined Category C (Optional)
    – These flexible slots would allow users to define custom compartments

Why this matters:

  • Easier review and deletion of specific memory segments
  • More precise control over what is retained
  • Supports complex workflows
  • Reduces clutter and data ambiguity in long-term interactions

This proposal supports memory transparency and is designed to work with user intent, not against it.

Thank you for considering this request.

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