Building Durable AI Agents That Don’t Die When Your Process Does

Your agent is mid-task. The process crashes. Suddenly the agent loses its state, progress, pending approvals, and execution context.

Most agent frameworks break here because the entire agent loop runs in memory inside your process. When the process dies, the agent dies with it.

In this webinar, we’ll show you how Agentspan solves this by separating execution state from your application process. Built on the Conductor workflow engine that powers billions of executions in production, Agentspan compiles agents into durable workflows that survive crashes, restarts, deploys, and long-running execution.

You’ll see how to add durable execution to native agents, OpenAI Agents SDK, LangGraph, or Google ADK agents with a single wrapper — no rewrites required. Agentspan provides crash recovery, durable human-in-the-loop pauses, automatic retries, replayable execution history, and full observability for every tool call and LLM interaction.

Through live demos, we’ll kill agents mid-execution and resume them from the exact step on another machine, pause workflows for human approval without blocking threads, and inspect complete execution traces through the built-in UI.

Whether you're building your first agent or running production-scale agent systems, you’ll leave with a practical understanding of what durable agent execution actually requires.