Active development has moved to
agents-cli, the next evolution of Agent Starter Pack. ASP will continue to receive critical fixes only — no new features, no new templates, no new deployment targets. New projects should start withagents-cli; existing projects should migrate.uvx google-agents-cli setupMigration takes minutes — your agent code, tests, Terraform, and CI/CD carry over with no rewrites.
What you gain:
- 🛠️ Unified CLI in place of the Makefile —
run,deploy,eval run,eval compare,playground,lint, and more- 🧠 Bundled coding-agent skills that turn Claude Code, Gemini CLI, or Codex into an ADK expert
- 🔁 End-to-end lifecycle tooling: scaffold → eval → deploy → publish → observe
- ☁️ First-class support for Google Cloud's Agent Platform
→ Migration guide • Get started • Docs • GitHub • PyPI
A Python package that provides production-ready templates for GenAI agents on Google Cloud.
Focus on your agent logic—the starter pack provides everything else: infrastructure, CI/CD, observability, and security.
| ⚡️ Launch | 🧪 Experiment | ✅ Deploy | 🛠️ Customize |
|---|---|---|---|
| Pre-built agent templates (ReAct, RAG, multi-agent, Live API). | Vertex AI evaluation and an interactive playground. | Production-ready infra with monitoring, observability, and CI/CD on Cloud Run or Agent Engine. | Extend and customize templates according to your needs. 🆕 Now integrating with Gemini CLI |
From zero to production-ready agent in 60 seconds using uv:
uvx agent-starter-pack create✨ Alternative: Using pip
If you don't have uv installed, you can use pip:
# Create and activate a Python virtual environment
python -m venv .venv && source .venv/bin/activate
# Install the agent starter pack
pip install --upgrade agent-starter-pack
# Create a new agent project
agent-starter-pack createThat's it! You now have a fully functional agent project—complete with backend, frontend, and deployment infrastructure—ready for you to explore and customize.
Already have an agent? Add production-ready deployment and infrastructure by running this command in your project's root folder:
uvx agent-starter-pack enhanceSee Installation Guide for more options, or try with zero setup in Firebase Studio or Cloud Shell.
| Agent Name | Description |
|---|---|
adk |
A base ReAct agent implemented using Google's Agent Development Kit |
adk_a2a |
An ADK agent with Agent2Agent (A2A) Protocol support for distributed agent communication and interoperability |
agentic_rag |
A RAG agent for document retrieval and Q&A. Supporting Vertex AI Search and Vector Search. |
langgraph |
A base ReAct agent implemented using LangChain's LangGraph |
adk_java |
A base ReAct agent implemented using Google's Agent Development Kit for Java |
adk_live |
A real-time multimodal RAG agent powered by Gemini, supporting audio/video/text chat |
More agents are on the way! We are continuously expanding our agent library. Have a specific agent type in mind? Raise an issue as a feature request!
🔍 ADK Samples
Looking to explore more ADK examples? Check out the ADK Samples Repository for additional examples and use cases demonstrating ADK's capabilities.
Explore amazing projects built with the Agent Starter Pack!
The agent-starter-pack offers key features to accelerate and simplify the development of your agent:
- 🔄 CI/CD Automation - A single command to set up a complete CI/CD pipeline for all environments, supporting both Google Cloud Build and GitHub Actions.
- 📥 Data Pipeline for RAG with Terraform/CI-CD - Seamlessly integrate a data pipeline to process embeddings for RAG into your agent system. Supporting Vertex AI Search and Vector Search.
- Remote Templates: Create and share your own agent starter packs templates from any Git repository.
- 🤖 Gemini CLI Integration - Use the Gemini CLI and the included
GEMINI.mdcontext file to ask questions about your template, agent architecture, and the path to production. Get instant guidance and code examples directly in your terminal.
This starter pack covers all aspects of Agent development, from prototyping and evaluation to deployment and monitoring.
- Python 3.10+
- Google Cloud SDK
- Terraform (for deployment)
- Make (for development tasks)
Visit our documentation site for comprehensive guides and references!
🔍 New to the codebase? Explore the CodeWiki for AI-powered code understanding and navigation.
- Getting Started Guide - First steps with agent-starter-pack
- Installation Guide - Setting up your environment
- Deployment Guide - Taking your agent to production
- Agent Templates Overview - Explore available agent patterns
- CLI Reference - Command-line tool documentation
-
From Demo to Production with Agent Starter Pack: Learn how the Agent Starter Pack acts as an Automated Architect, building the professional infrastructure for your AI project in seconds. Covers why most AI projects fail at deployment and how ASP automates Terraform, CI/CD, and observability.
-
6-minute introduction (April 2025): Explaining the Agent Starter Pack and demonstrating its key features. Part of the Kaggle GenAI intensive course.
Looking for more examples and resources for Generative AI on Google Cloud? Check out the GoogleCloudPlatform/generative-ai repository for notebooks, code samples, and more!
Contributions are welcome! See the Contributing Guide.
We value your input! Your feedback helps us improve this starter pack and make it more useful for the community.
If you encounter any issues or have specific suggestions, please first consider raising an issue on our GitHub repository.
For other types of feedback, or if you'd like to share a positive experience or success story using this starter pack, we'd love to hear from you! You can reach out to us at agent-starter-pack@google.com.
Thank you for your contributions!
This repository is for demonstrative purposes only and is not an officially supported Google product.
The agent-starter-pack templating CLI and the templates in this starter pack leverage Google Cloud APIs. When you use this starter pack, you'll be deploying resources in your own Google Cloud project and will be responsible for those resources. Please review the Google Cloud Service Terms for details on the terms of service associated with these APIs.