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Wed, October 1415:00AgentAI codingAgentsResearch & papersAI coding guide

Third Moment Research runs 10,000 Agents for 36+ hours with GPT-6 Astra and GPT-6.1 Sol

Decision Brief

What changedThird Moment Research used GPT-6 Astra, GPT-6.1 Sol, Codex, and the Daybreak security tool to keep over 10,000 Agents running for more than 36 hours while improving with use.
Why it mattersThis setup shows that for long-running, 10,000-Agent deployments, choosing models that support persistent sessions matters more than raw compute; teams integrating via Codex should first validate session renewal and state recovery.
Who should careAgent builders
Affected stackOpenAI
Source confidenceHigh · Official release / blog / repo

Third Moment Research demonstrated its Agent runtime: on top of GPT-6 Astra and GPT-6.1 Sol, combined with Codex and the cybersecurity-focused Daybreak, it kept roughly 10,000 Agents running continuously for over 36 hours. The description emphasizes that these Agents stay focused for long stretches and improve as they are used. This scale is directly relevant to teams building multi-Agent systems: per-Agent context retention and failure recovery, not concurrency itself, are the main bottlenecks for sustaining 36-hour continuous operation. For teams handling security automation, Daybreak being part of the same runtime means persistent security Agent watch duty is an explicitly covered scenario.

Summary basis: official / RSS sourceCompiled from the source scope noted above; the original remains authoritative.

Sources

  • OpenAI:News

    Official OpenAI announcements: models, APIs, product and policy updates.

  • OpenAI:News

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