Add persistent user preference recall across Codex CLI conversations
OpenAI Developer Community
June 22, 2026
One implementation detail I would want in a first-class preference layer is that every remembered preference is a scoped record, not just another instruction blob.
Something like: scope (global / repo / subdirectory / task), source, created-at, last-confirmed-at, expiry or review policy, and conflict behavior. Then the agent can show “I am applying these three preferences in this run” before acting, and it becomes possible to reject stale or cross-repo leakage.
That also keeps AGENTS.md useful for durable repo behavior, while avoiding the silent promotion problem where a one-off chat preference becomes a permanent default.
Discussion in the ATmosphere