Uploaded August 2026 | Updated September 2026, 3 weeks ago
Keep moving with agents! ⚙️ *The all things agentic hackathon* is officially live.
We're challenging builders to build next generation agents that take on the busy work and handle the heavy lifting in the background using Gemini 3.5 and Google Cloud. Compete for your share of *$180,000* in prizes, cash, and Google Cloud credits!
* *Important Dates:*
• Submissions open: August 3, 2026
• Submissions close: August 31, 2026 (5:00 P.M. PDT / 8:00 P.M. EDT)
• Prizes: $180,000 total prize pool
Learn more and register → https://goo.gle/agentic-hackathon
Sign up for GEAR to get exclusive updates and your badge → https://goo.gle/4fWmqiU
Watch more Release Notes → https://goo.gle/4njokfg
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#AllThingsAgenticHackathon
Speaker: Tilde Thurium, Annie Wang
Products Mentioned: Gemini, Google Cloud Skills Boost, Gemma, Cloud Run, Vertex AI
Keep moving with agents! ⚙️ *The all things agentic hackathon* is officially live.
We're challenging builders to build next generation agents that take on the busy work and handle the heavy lifting in the background using Gemini 3.5 and Google Cloud. Compete for your share of *$180,000* in prizes, cash, and Google Cloud credits!
* *Important Dates:*
• Submissions open: August 3, 2026
• Submissions close: August 31, 2026 (5:00 P.M. PDT / 8:00 P.M. EDT)
• Prizes: $180,000 total prize pool
Learn more and register → https://goo.gle/agentic-hackathon
Sign up for GEAR to get exclusive updates and your badge → https://goo.gle/4fWmqiU
Watch more Release Notes → https://goo.gle/4njokfg
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#AllThingsAgenticHackathon
Speaker: Tilde Thurium, Annie Wang
Products Mentioned: Gemini, Google Cloud Skills Boost, Gemma, Cloud Run, Vertex AI


![Gemini Enterprise Agent Platform: Adding memory to AI agents
Google Cloud Data Agent Kit → https://goo.gle/4tBKZ8h
Google Developers Codelabs → https://goo.gle/43fQKhb
[GitHub] Race Condition → https://goo.gle/4dnsLBi
Join Google Cloud Developer Advocates Lucia Subin and Jack Weatherspoon as they recap their Dev Keynote demo, revealing how to build highly contextual AI agents using the Gemini Enterprise Agent Platform. Learn how to easily implement Agent Sessions and Memory Banks in under 20 lines of code to maintain statefulness, and discover how to leverage AlloyDBs auto embeddings and the new Data Agent Kit for seamless Retrieval-Augmented Generation (RAG). Empower your cloud workflows by exploring the open source race condition GitHub repository and utilizing pre-built Google Cloud Agent Skills to deploy scalable, intelligent data engineering pipelines today.
Chapters:
0:00 - Intro
0:55 - What are agent sessions & stateful agents?
1:39 - What is Memory Bank?
2:43 - What is Retrieval-Augmented Generation (RAG) & auto embedding in AlloyDB?
3:34 - What is the Google Cloud Data Agent Kit?
4:57 - Getting started today with codelabs
6:12 - Utilizing Google Cloud Agent Skills
7:29 - What is the Data Engineering Agent?
8:07 - Wrap up
More resources:
Google Agent Skills repo → https://goo.gle/4eUnyUi
Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloudNext
Speakers: Lucia Subatin, Jack Wotherspoon
Products Mentioned: Gemini Enterprise Agent Platform, AlloyDB Gemini Enterprise Agent Platform: Adding memory to AI agents](https://i.ytimg.com/vi/5m9ppmJuJHk/mqdefault.jpg)







