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On October 22, 2026, Google Cloud announced a research reference architecture codenamed Project Chrysalis, demonstrating how to run governed self-evolving AI agents on Gemini Agent Platform and ADK. The architecture's performance in a simulated Black Friday cache avalanche failure was also disclosed: time to first mitigation was shortened from 15–45 minutes to 1.8 seconds, the HTTP 5xx error rate dropped from 72.7%–80.0% to 0.0%, and P99 latency dropped from 519.8 ms to 18.2 ms. All autonomous operations are constrained by governance from Model Armor, Cloud KMS, Binary Authorization, OPA, and two-person review HITL. There are currently no subsequent independent development facts.
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How Google Built Governed Self-Evolving AI Agents on the Gemini Agent PlatformDevelopments
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Google presents Project Chrysalis self-evolving Agent reference architecture
Source:Google Developers Blog
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Oct 22
Google Developers BlogFirst-party
How Google Built Governed Self-Evolving AI Agents on the Gemini Agent Platform
Google Cloud unveiled a research reference architecture codenamed Project Chrysalis, demonstrating how to run governed self-evolving AI agents on the Gemini Agent Platform and ADK. In a simulated Black Friday cache avalanche failure, the architecture reduced time to first mitigation from 15–45 minutes to 1.8 seconds, cut the HTTP 5xx error rate from 72.7%–80.0% to 0.0%, and lowered P99 latency from 519.8 ms to 18.2 ms. All autonomous operations are constrained by governance controls including Model Armor, Cloud KMS, Binary Authorization, OPA, and two-person review HITL.