As a ChatGPT Plus user, I assume your team has already considered this idea, but I’m suggesting it again because I believe it’s critical to move faster.
Currently, ChatGPT is based on volatile memory. Even if personalization is possible during a session, every new chat requires re-explaining my background, context, or system setup. That’s inefficient for users, especially professionals who rely on continuity.
At the same time, storing user data on OpenAI’s servers raises privacy and security concerns — understandably, this limits long-term memory for sensitive content.
What I propose is a local memory structure:
Store user context and personalization data locally — either in browser localStorage, secure/encrypted cache, or a local app database.
The AI would read from this local memory at session start and adapt instantly.
Benefits:
- Seamless personalization — no repeated explanations
- No sensitive data stored on OpenAI servers
- Reduced server load
- Easier opt-in/out structure for users
- Could be a premium feature for Plus or Team/Enterprise tiers
This approach solves multiple issues at once: security, UX, server cost, and user retention.
It’s likely this idea has already been considered internally, but from a user perspective, we’re still waiting — and it would greatly improve the product if prioritized soon.
— Submitted by ChatGPT Plus user & system planner/developer from Korea