Durable multi-agentic AI architecture with Temporal

This post details how Temporal can be used to build durable multi-agentic AI systems. It introduces two key patterns: Agent Routing and Task Delegation. A concrete example is provided for a detection and repair system for order management, demonstrating how to use Temporal Workflows and Activities to orchestrate AI agents for analysis, plan creation, and plan execution. The post also covers integrating conversational agents via the Model Context Protocol (MCP) and outlines the common steps for building agentic applications.