Codex Has No Real Memory: Three Ways to Fix It, One in 30 Seconds
OpenAI Codex has introduced memory features, but they are limited to project-scoped and do not persist across different projects or platforms. Users have reported inconsistencies when switching between Codex Web and Codex Desktop. Three potential solutions are proposed to enhance Codex's memory capabilities for developers.
- ▪OpenAI Codex reached 3 million weekly active users by April 2026, with significant growth since January.
- ▪The memory feature added on April 16 is project-scoped and does not carry over between different projects or AI tools.
- ▪Three solutions are suggested to improve Codex's memory: built-in memories with project files, an MCP memory server, and a hybrid setup.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3866458) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Matthias | StudioMeyer Posted on May 20 • Originally published at studiomeyer.io Codex Has No Real Memory: Three Ways to Fix It, One in 30 Seconds #ai #codex #openai #memory OpenAI Codex crossed 3 million weekly active users by April, 2026, with 70 percent month-over-month growth and 5x growth since January. The product has memory now, after the April 16 update. But the memory it ships with is project-scoped, cloud-only, and locked inside OpenAI.
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