Google's ADK Drops 30+ Ready-to-Ship AI Agent Blueprints for Developers
Google's adk-samples repo offers 30+ production-ready agent blueprints across Python, Go, Java, and TypeScript — covering everything from medical pre-authorization to supply chain optimization.
PRO- 30+ runnable agents: Google's adk-samples repo covers medical, financial, supply chain, RAG, customer service, and more.
- Multi-language: Samples span Python, TypeScript, Go, Java, Kotlin, and Android with language-specific setup instructions.
- ADK 2.0 underneath: The framework now includes a graph-based Workflow Runtime with fan-out/fan-in, loops, retry, and human-in-the-loop support.
- Model-agnostic: Works with Gemini, Anthropic, Meta, Mistral, and any model via LiteLLM or Vertex AI Model Garden.
- Eval scripts included: Each agent ships with an eval directory for testing response quality against pre-defined benchmarks.
- Deploy anywhere: One-command deployment to Cloud Run, GKE, or Vertex AI Agent Engine with no code changes required.
Building an AI agent from scratch still takes longer than it should. You pick a framework, figure out tool integration, wire up memory and state, handle multi-agent delegation , and that's before you write a single line of business logic. Google's adk-samples repository is a direct answer to that friction: a growing library of fully runnable, production-quality agent blueprints built on top of the Agent Development Kit (ADK), covering more than 30 real-world use cases across multiple languages.
What's actually in the repo
The collection provides ready-to-use agents built on top of ADK, covering a range of common use cases and complexities, from simple conversational bots to complex multi-agent workflows. The repo contains sample agents for Python, TypeScript, Go, Java, Kotlin, and Android. With over 9,200 stars and 2,500 forks, it has become the de facto starting point for anyone building with ADK.
The Python folder alone has more than 30 agents. Here's a cross-section of what's available:
- medical-pre-authorization: Automates the pre-authorization process by analyzing medical records and health policies to instantly determine coverage and eligibility.
- supply-chain: A multi-agent system designed to analyze real-time market dynamics, weather conditions, internal operations, and demand forecasts to optimize the power and energy supply chain.
- software-bug-assistant: Assists in software bug resolution by querying internal ticketing systems and external knowledge sources (GitHub, StackOverflow, Google Search) to find similar issues and diagnostics.
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