Google ADK + Gemma 4: Build Your First Local AI Agent App

This video demonstrates how to build a local AI agent application using Google's ADK (Agent Development Kit) and Gemma 4, an open-source language model. It covers setting up a development environment, creating agent workflows, and deploying AI agents locally without relying on expensive cloud services. The tutorial enables developers to build customized AI tools tailored to specific needs while maintaining full control over data and costs.

Key Points

• •Google ADK provides a framework for building AI agents with structured workflows and tool integration
• •Gemma 4 is an open-source LLM that can run locally, eliminating cloud API costs and latency
• •Local AI agent deployment gives you full control over data privacy and model customization
• •ADK supports defining agent behaviors, tool chains, and decision logic through configuration
• •Agents can be extended with custom tools and integrations for domain-specific tasks
• •Local deployment reduces operational costs compared to cloud-based AI services
• •The development workflow includes environment setup, agent definition, and testing
• •ADK enables rapid prototyping and iteration of AI agent behaviors

Workflow Diagram

Concepts