Why We Built ADK 2.0 Originally published on Google Developers Blog - July 1, 2026, co-authored with Swapnil Agarwal and Frank Guan.
Next-gen agent development is here. ADK 2.0 is a ground-up evolution of the Agent Development Kit, aimed at making it far easier to build reliable, production-grade multi-agent applications.
Why This Matters Building agents at scale exposes gaps that don’t show up in prototypes: orchestration across many agents, human-in-the-loop checkpoints, dynamic routing, and resilience against failures.
Announcing ADK for Go 2.0 Originally published on Google Developers Blog - June 30, 2026, by Toni Klopfenstein and Sampath Kumar Maddula.
ADK for Go 2.0 introduces a brand-new graph-based workflow engine for composing complex, multi-agent Go applications, with idiomatic support for human-in-the-loop orchestration, dynamic routing, and built-in resilience — all on a unified runtime.
Why This Matters Go’s strong concurrency model pairs well with graph-based agent orchestration, and this release makes it much more natural to build production multi-agent systems in Go rather than bolting agent logic onto ad hoc goroutine pipelines.
Delight Users by Combining ADK Agents with Fancy Frontends Using AG-UI Originally published on Google Developers Blog - December 11, 2025.
The ADK and AG-UI integration lets developers pair a powerful ADK-based agent backend with a flexible, interactive frontend — combining Google’s Agent Development Kit with the AG-UI protocol to build richer, more responsive AI applications.
Why This Matters Backend agent logic and frontend UX are often built by separate teams with separate toolchains.
Building Agents with the ADK and the New Interactions API Originally published on Google Developers Blog - December 11, 2025, co-authored with Mike Smith and Xiang (Sean) Zhou.
The landscape of AI development is shifting from stateless request-response cycles to stateful, multi-turn agentic interactions. The new Interactions API lets you power ADK agents or connect A2A systems directly to the Gemini Deep Research Agent.
Why This Matters Stateful, multi-turn interaction patterns are exactly where agent memory systems earn their keep — this API gives ADK and A2A a standard way to plug into long-running, stateful agent experiences.