The world’s best AI runs on Temporal

Build applications the way OpenAI, Lovable, Replit, Cursor, and Retool do with our open-source platform. Add agentic capabilities to any application with your framework of choice.

This free bundle gives you a proven path to resilience:

Technical guide: Why agents fail, and how to fix them
Live demo + code: Resilient, stateful AI in action
Expert sessions: Real-world patterns + MCP deep dive
Hands-on Tutorials: Build a Durable agent step by step

Your agent is a distributed system. Build it that way.

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Temporal + OpenAI: The Future of Agentic AI

Venkat Venkataramani (VP, Applied Infrastructure, OpenAI) joins the Replay 2026 keynote stage to talk about how OpenAI uses Temporal in production and what it takes to build reliable infrastructure for agentic AI at the scale OpenAI operates.

Watch the talk

Durable execution is a core requirement for modern AI systems, and Temporal offers a compelling platform to help build it in from the start. As AI systems become more complex and long-running, durability is as important as performance. Temporal plays a role in how we think about reliable execution at scale, supporting teams in focusing on product development.

Venkat Venkataramani

VP of App Infrastructure, OpenAI • Former CEO & Co-founder of Rockset

Why Durable Execution?

Crash recovery without writing glue code
Retries and long-running logic without ad-hoc orchestration code
Full observability into every execution and easy testability of every workflow
Human input when needed, orchestrated like code

AI teams at Gorgias and ZoomInfo rely on Temporal to keep their applications resilient, and companies like NVIDIA use it to orchestrate long-running GPU workflows that power modern AI infrastructure.

Agents are distributed systems in disguise

Every “simple agent” is actually a live, stateful system that chains LLM calls, waits on APIs, often involves humans, and branches unpredictably.

In production, this means things break: tools go down, context disappears, executions silently stall.

Don’t waste time hand-rolling a distributed system. The right infrastructure lets you focus on creating business value.

System architecture diagram showing user input flowing through dispatch agent, LLM, specialist agent, MCP, and services.

Gorgias scales AI agents to 15,000 brands with Temporal

Temporal handles retries, sagas, and human‑in‑loop steps for Gorgias’s agents.

Read the case study ›

We started working on our newest project three months ago and now we’re ready for production. To be clear, without a framework like Temporal, this wouldn’t be possible.

Romain Niveau

Sr. Engineering Manager, Gorgias

Everything you need to build production-grade agents

The Durable Agents Bundle gives you a proven path to production, fast, without the rewrite cycle. See what's included:

Technical guide

Why AI agents fail in production and how to make them resilient.

Code demo & tutorial

A Python agent you can run, extend, and make your own.

Expert sessions

A four-part series covering patterns, architectures, and MCP agents.

Hands-on tutorials

Learn how to build durable AI applications using Temporal.

Without Temporal, we would be lagging behind significantly from where we are. Because of the productivity it provides, we are able to move much, much faster than where we were previously. I don't think that the product I work on would be successful at all if Temporal were not part of the solution.

Rob Zienert

Staff Software Engineer, Infra Management, Netflix

Temporal Cloud provides Snap a highly reliable and scalable foundation for Snap Stories, enabling us to deliver the amazing global experience our users have come to expect.