Google Demonstrates Long-Running AI Agents That Pause, Resume, and Retain Context

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First, here is a link to the Gemini Enterprise Platform:

https://fandf.co/4nWzg2Q

The three patterns that make this different from your regular, run-of-the-mill chatbot:

• Pattern 1: How to implement a durable state machine that persists over time.

• Pattern 2: How to build event-driven agents that stay dormant until they receive a webhook event. No active polling or blocked threads.

• Pattern 3: How to build multi-agent delegation instead of relying on a single agent to do everything.

Here is the blog post with the explanation of how everything works:

https://fandf.co/4ofYbPn

You'll find a link to the GitHub repository with the complete source code in the article.

This is how you can implement *real*, production-ready processes to manage workflows spanning multiple days.

Thanks to the Google Cloud AI team for partnering with me on this post.

Santiago@svpino

Google keeps sharing a ton of free content!

Here is one of their most complete examples: a long-running AI agent that pauses, resumes, and never loses context.

It simulates the onboarding of a new employee.

There are the 3 architectural patterns you'll learn from this:

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Everlier@Everlier

@svpino I find it even more fascinating how many wraps some specific concrete implementations get in order to be usable by enterprise, like "safety net" layers :)

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