Build long-running agents with Google’s Agentic Stack | The Agent Factory
Skills:
Agent Foundations90%
Key Takeaways
Builds long-running agents with Google's Agentic Stack, including AI systems that persist, sleep, self-correct, and execute complex workflows
Original Description
Google’s Agent Studio → https://goo.gle/43BUUjA
ADK 2.0 → https://goo.gle/3RR3VTm
Read more about Long-running agents → https://goo.gle/49xvNC1
In this episode, we explore "long-running agents": AI systems that persist, sleep, self-correct, and execute complex workflows over hours, days, or even weeks.
Join host Smitha Kolan and Addy Osmani, Director of Google Cloud AI, as they break down the three non-negotiable rules for production-grade agents: durable state checkpoints, event-driven dormancy (true sleep), and separated evaluation.
You'll see three live demos of long-running agents: a multi-day HR onboarding coordinator that delegates tasks and waits for human signatures; a custom operating system built autonomously; and a complex, highly optimized 3D video store generated entirely in Blender by an AI agent over several days.
Whether you're a cloud architect, an AI engineer, or a technical founder, you'll walk away with a blueprint for building long-running agents that actually finish the job. You'll learn how to implement the three-agent setup (planner, generator, evaluator).
Chapters:
0:00 - Introduction to Long-Running Agents & ADK 2.0
1:19 - Why AI Agents Need to Sleep (State & Dormancy)
4:49 - The 3-Agent Setup for Multi-Day Workflows
5:16 - Demo: Long-Running HR Onboarding Agent
11:56 - Demo: Building an OS
16:08 - Demo: Generating a 3D Video Store in Blender
22:47 - "Beyond Vibe Coding" & Developer Pushback
26:07 - Avoiding Cognitive Debt and Cognitive Surrender
28:17 - What is Agent Engine Optimization (AEO)?
31:06 - Addy Osmani’s Favourite Developer Tool
More resources:
👔 Long Running AI Agent Team for New Hire Onboarding → https://goo.gle/4fgJmJS
Agent’s CLI → https://goo.gle/4fKemC8
Agentic Releases at I/O 2025 → https://goo.gle/4dWoUf2
Speakers:
Smitha Kolan
X → https://goo.gle/4uEGz1P
LinkedIn → https://goo.gle/4353lDX
Addy Osmani
X → https://goo.gle/3PMeLcO
LinkedIn → https://goo.gle/4wZaNyc
Watch more of The Agent Factory →
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related Reads
📰
📰
📰
📰
A Regression-Test Workflow for Consistent AI Characters Across Chat, Images, and Video
Dev.to · Joe Wu
issues are prompts, PRs are context, github is the queue
Dev.to AI
Automating Quarterly Data Aggregation: Connecting Portfolios, Performance, and Benchmarks
Dev.to AI
Re: ACP already exists — you're right, that's why we built ATC instead
Dev.to AI
Chapters (10)
Introduction to Long-Running Agents & ADK 2.0
1:19
Why AI Agents Need to Sleep (State & Dormancy)
4:49
The 3-Agent Setup for Multi-Day Workflows
5:16
Demo: Long-Running HR Onboarding Agent
11:56
Demo: Building an OS
16:08
Demo: Generating a 3D Video Store in Blender
22:47
"Beyond Vibe Coding" & Developer Pushback
26:07
Avoiding Cognitive Debt and Cognitive Surrender
28:17
What is Agent Engine Optimization (AEO)?
31:06
Addy Osmani’s Favourite Developer Tool
🎓
Tutor Explanation
DeepCamp AI