Here's your Durable Agents Bundle

Everything you need to build production-ready agents.

Hands-On Tutorials

Build a Durable AI Agent in Python

Tutorial and sample code for an LLM-powered agent with retries, human-in-the-loop, and dynamic goals using Temporal’s Python SDK.

Build Durable MCP Tools

Learn how to build durable MCP (Model Context Protocol) tools using Temporal Workflows for reliable AI integrations.

Build a Deep Research Agent

Build a durable, multi-agent deep research application with human-in-the-loop capabilities using Temporal and the OpenAI Agents SDK.

Technical Overviews

From AI Hype to Durable Reality

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

Watch Temporal Orchestrate an Agent

Live demo of the agent handling failure, adapting goals, and running on Temporal.

The Hero’s Journey to AI Durability

Learn how Temporal brings agentic AI demos to production-ready status from a high-level overview.

Expert Sessions

Explore architecture, patterns, and lessons for building durable agents.

Learn to Build AI Agents with Temporal

Get hands-on with Temporal’s Python SDK to build stateful, production-ready agents. Learn patterns for orchestrating workflows that recover and scale reliably.

Deep Dive: AI Agent Code Walkthrough with Temporal

Explore orchestration strategies and real-world architectures. Walk through code examples showing how Temporal adds resilience to agentic systems.

Orchestrating AI at Scale: How Dust Runs 10M+ Activities a Day with Temporal

See how Dust uses Temporal to automate 10M+ daily tasks across GitHub, internal tools, and docs without breaking in production.

Durable MCP: Building a Resilient Agent Toolbox

Learn how to make MCP agents production-grade using Temporal’s durable execution. Build an extensible toolbox for orchestrating resilient, intelligent agents.

OpenAI Agents SDK

Public Preview

OpenAI + Temporal: Durable Execution for agent frameworks

If you have questions and want to learn more, feel free to reach out