Google ADK: Agent Development Kit
Google Cloud recently introduced the Agent Development Kit (ADK) at NEXT 2025, a new open-source framework purpose-built to help you design, deploy, and evaluate intelligent multi-agent systems with ease. Whether you’re looking to orchestrate agents, integrate tools, or deploy production-grade agentic applications, ADK provides everything you need in one developer-friendly toolkit.
According to the official blog, the Agent Development Kit is:
a powerful, open-source framework designed to simplify the development of production-ready AI agents and multi-agent systems with flexible tooling, rich integrations, and deployment options built for scale.
In this session, we’ll go beyond the basics and explore what it really takes to build and deploy collaborative agents using ADK.
We’ll answer questions like:
What does it mean to build multi-agent systems with ADK?
How do agents delegate tasks, stream audio/video, and interact with tools like LangChain or Vertex AI models?
How do you deploy, evaluate, and integrate these agents into real-world products?
🚀 According to the launch at Google Cloud NEXT, with ADK you can:
🧠 Build modular multi-agent systems with clear delegation and orchestration
🔧 Integrate with any model via Vertex AI or LiteLLM
🛠️ Use tools, libraries, or even other agents inside your agents
🎥 Enable bidirectional streaming for rich, natural multimodal interaction
🧪 Evaluate performance before deployment using built-in test frameworks
📦 Deploy anywhere, including Google Cloud's Vertex AI Agent Engine
Key Features of ADK
Multi-Agent by Design: Compose agents into scalable, collaborative systems with hierarchical delegation.
Rich Tool & Model Ecosystem: Integrate models from Gemini, Anthropic, Meta, Mistral AI, and more. Equip agents with tools from LangChain, LlamaIndex, or define your own.
Streaming Interaction: Build natural experiences with voice and video support.
Flexible Orchestration: Choose between deterministic workflows or adaptive routing using LLM logic.
Integrated Dev Experience: Inspect and debug with a CLI and visual UI.
Evaluation + Deployment: Built-in test framework + easy containerized deployment to any environment, including Vertex AI.
Join us live to learn what you can build, ship, and share with Google’s ADK!
📚 You’ll learn:
How to build multi-agent applications using ADK’s Pythonic, open-source framework
How to delegate tasks and coordinate agents using ADK’s orchestration tools
How to evaluate and deploy agents to Vertex AI’s managed infrastructure
🤓 Who should attend the event:
AI Engineers who want to build production agentic applications with the latest tools
AI Engineering leaders who want to understand the latest agent orchestration frameworks
Speakers:
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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