OpenAI Agents SDK demos made durable and scalable with Temporal
Steve from Temporal here. Temporal is an MIT open source project for reliable execution at scale. I adapted+extended some of OpenAI's Agents SDK samples to integrate with Temporal. These demo agents can survive process crashes, scale to millions of executions in parallel and have easy-to-implement human interactivity. Just add a couple of Python decorators to your OpenAI agent code, run Temporal workers and you're ready to go. Check the video I did with OpenAI showing this in action (it's linked in the repo). OpenAI actually use us for ChatGPT Images and also their Codex code writing agent…
In plain words
Temporal provides demo implementations integrating OpenAI's Agents SDK with Temporal, an open-source framework for reliable execution at scale. Developers can add Python decorators to agent code to enable crash recovery, parallel execution of millions of tasks, and human interactivity. The solution targets teams building AI agents who need production-grade reliability and scalability without extensive infrastructure changes.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Steve from Temporal here. Temporal is an MIT open source project for reliable execution at scale. I adapted+extended some of OpenAI's Agents SDK samples to integrate with Temporal. These demo agents can survive process crashes, scale to millions of executions in parallel and have easy-to-implement human interactivity. Just add a couple of Python decorators to your OpenAI agent code, run Temporal workers and you're ready to go. Check the video I did with OpenAI showing this in action (it's linked in the repo). OpenAI actually use us for ChatGPT Images and also their Codex code writing agent so I figure this may be a viable path for others to code something easy that's also reliable at scale. Happy to answer questions.
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