{
  "$type": "site.standard.document",
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    "uri": "at://did:plc:lk3jfj3zq4k4wxnk474axylu/app.bsky.feed.post/3mmv6ovgkymz2"
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  "path": "/t/feature-request-structured-operational-memory-for-chatgpt-codex-workflows/1381913#post_1",
  "publishedAt": "2026-05-28T03:26:10.000Z",
  "site": "https://community.openai.com",
  "textContent": "Natural-language software development requires tight integration between ChatGPT and Codex workflows.\n\nCurrently, generation is strong, but long-term project organization, operational memory, and structured document relationships are still difficult to manage at scale.\n\nTo address this, I would like to propose:\n\n  1. Codex integration with the ChatGPT Library\n\n\n  * Allow Codex projects/tasks to reference and organize Library documents directly\n  * Link specifications, receipts, implementation notes, and related files\n\n\n  2. Editable and structured Library management\n\n\n  * Folder/project hierarchy\n  * Tags and related-document links\n  * Operational records and implementation history\n  * Search and filtering by project or workflow stage\n\n\n  3. Automatic organization support\n\n\n  * AI-assisted grouping and categorization\n  * Suggest related files/specifications\n  * Timeline and implementation-chain views\n\n\n\nThis would significantly improve natural-language software development workflows, especially for long-running collaborative AI projects involving specifications, operational policies, implementation logs, and iterative development.",
  "title": "Feature Request: Structured operational memory for ChatGPT/Codex workflows"
}