I use both ChatGPT and Codex under the same OpenAI account. My need is not only for Codex to access ChatGPT saved memories, but for ChatGPT and Codex to share the relevant context layer when I choose to enable it.
Currently, ChatGPT has two useful context mechanisms:
- Saved memories, such as long-term preferences, goals, coding style, research background, and personal workflow.
- Reference chat history, where ChatGPT can use useful information from past conversations to make future conversations more relevant.
For coding and long-term projects, Codex would benefit from both. Many of my coding tasks are first discussed and planned in ChatGPT, then implemented in Codex. However, Codex conversations are separate from ChatGPT conversations, so I have to repeatedly copy context, decisions, constraints, project goals, and personal preferences into Codex.
I suggest adding an opt-in “shared context” setting between ChatGPT and Codex.
Possible design:
- Off by default.
- User can enable “Allow Codex to use ChatGPT context.”
- User can choose the scope:
- Saved memories only
- Reference chat history summaries
- Specific ChatGPT Projects only
- Specific chats selected by the user
- Codex should show what type of context it is using.
- Users should be able to exclude sensitive memories or chats.
- Users should be able to revoke access at any time.
- For project work, a ChatGPT Project and a Codex workspace/repository could optionally share a project-level context summary.
- Codex should not need full raw chat history by default; it could use a user-approved summarized context layer to reduce privacy risk and noise.
This would make Codex much more useful for long-term software projects, research projects, and personal knowledge-management workflows, while preserving user control and privacy.