How Third Moment Research Runs 10,000 Agents for 36+ Hours With OpenAI

Third Moment Research has published details on their production architecture for running 10,000 concurrent AI agents sustained over 36+ hours using OpenAI's models, offering a rare concrete case study in large-scale agentic deployment. The engineering challenges at this scale — coordination, state management, error recovery, cost control, and API rate limiting — are substantially different from running tens or hundreds of agents, making this a meaningful reference for teams planning ambitious agentic systems. The writeup provides practical insight into how long-running agent fleets can be structured and what failure modes emerge at scale. For developers working on autonomous research, data processing, or simulation pipelines, this case study is directly applicable. OpenAI's infrastructure being the backbone here also highlights the platform's current capacity headroom for enterprise-scale agentic workloads.