ADK for Kotlin brings agentic workflows to backend

Summary

Eliminates manual coordination logic between cloud and on-device models, letting you swap inference targets per task without rewriting agent definitions. Shipping multi-agent systems that keep user data local while preserving cloud reasoning becomes a few-liner Kotlin task instead of architectural debt.

Why it matters

Eliminates manual coordination logic between cloud and on-device models, letting you swap inference targets per task without rewriting agent definitions. Shipping multi-agent systems that keep user data local while preserving cloud reasoning becomes a few-liner Kotlin task instead of architectural debt.

Sources

1. 1.ADK removes that friction by managing all the complex orchestration, context handling, and error handling for you
2. 2.Gemini Nano as a model on Android, it has become available on over 140 million devices
3. 3.implementation("com.google.adk:google-adk-kotlin-core-android:0.1.0")
4. 4.You can use a cloud model as your main orchestrator, which can then offload specific tasks to sub-agents that run fully on-device
5. 5.Local Retrieval: By utilizing on-device models like Gemini Nano, you can create retrieval agents that access and parse documents locally, ensuring data never has to leave the hardware