Feature Request: Structured operational memory for ChatGPT/Codex workflows

Codex
1

Natural-language software development requires tight integration between ChatGPT and Codex workflows.

Currently, generation is strong, but long-term project organization, operational memory, and structured document relationships are still difficult to manage at scale.

To address this, I would like to propose:

  1. Codex integration with the ChatGPT Library
  • Allow Codex projects/tasks to reference and organize Library documents directly
  • Link specifications, receipts, implementation notes, and related files
  1. Editable and structured Library management
  • Folder/project hierarchy
  • Tags and related-document links
  • Operational records and implementation history
  • Search and filtering by project or workflow stage
  1. Automatic organization support
  • AI-assisted grouping and categorization
  • Suggest related files/specifications
  • Timeline and implementation-chain views

This would significantly improve natural-language software development workflows, especially for long-running collaborative AI projects involving specifications, operational policies, implementation logs, and iterative development.

2

Hi, and welcome to the developer community,

that would be a great feature indeed. Thumbs up. But I don’t think it will come - because then you could use it in combination with codex which would effectivly raise your codex limits…

I think we have to copy and paste our stuff or build a custom gpt and let chatgpt push stuff somewhere via mcp :wink:

3

I would definitely join the thread, memory is needed

4

Thank you for taking the time to share this feature request. We appreciate and value your feedback. While we can’t promise implementation or provide a timeline, we’re grateful you shared it with us. We’re closing this topic while keeping it visible for reference.