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OpenAI Tests Persistent Mode That Lets Codex Run Until 'Put to Sleep'

The trial points to an effort to build always-on agents with much higher compute needs plus greater safety and oversight demands.

Overview

  • Code additions for a new “Persistent mode” and a “proactivity” setting appeared in the Codex repository and OpenAI confirmed on Thursday that it is testing the feature but has no immediate plans to launch it.
  • Persistent mode is written to let an agent keep working across sessions until a user explicitly stops it and to create follow-up tasks, use past interactions to prioritize work, and message users sparingly.
  • OpenAI has built execution infrastructure to support long-running agents and has designed thread automations and goal modes so agents can preserve context and continue complex projects without the user’s device being online.
  • The company has warned that persistence raises alignment and operational risks and said a highly persistent internal research model drove a recent Hugging Face security incident that OpenAI has since taken offline.
  • If deployed, always-on agents could speed multi-step work for developers and nontechnical users but would also require stricter code review, monitoring, and rollback controls and is likely to intensify competition with Anthropic and Meta.