agent-starter-pack

v0.29.3

CLI to bootstrap production-ready Google Cloud GenAI agent projects from templates. For more information about how to use this package see README

Latest version published 17 days ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 5.25K
Forks: 1.22K
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package agent-starter-pack, we found that it has been starred 5,246 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 22, 2025
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 25
Open PR: 1
Last Release: 17 days ago
Last Commit: 17 days ago

Further analysis of the maintenance status of agent-starter-pack based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that agent-starter-pack demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the agent-starter-pack repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.10

Age: 10 months
Latest Release: 17 days ago
Dependencies: 0 Direct
Versions: 101
Maintainers: 1
Wheels: OS Independent

Readme

🚀 Agent Starter Pack

Version Stars

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

⚡ Get Started in 1 Minute

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 &amp;&amp; source .venv/bin/activate

# Install the agent starter pack
pip install --upgrade agent-starter-pack

# Create a new agent project
agent-starter-pack create

That's it! You now have a fully functional agent project—complete with backend, frontend, and deployment infrastructure—ready for you to explore and customize.

🔧 Enhance Existing Agents

Already have an agent? Add production-ready deployment and infrastructure by running this command in your project's root folder:

uvx agent-starter-pack enhance

See Installation Guide for more options, or try with zero setup in Firebase Studio or Cloud Shell.

🤖 Agents

Agent Name	Description
`adk_base`	A base ReAct agent implemented using Google's Agent Development Kit
`adk_a2a_base`	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_base`	A base ReAct agent implemented using LangChain's LangGraph
`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.

🌟 Community Showcase

Explore amazing projects built with the Agent Starter Pack!

View Community Showcase →

Key Features

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.md context file to ask questions about your template, agent architecture, and the path to production. Get instant guidance and code examples directly in your terminal.

High-Level Architecture

This starter pack covers all aspects of Agent development, from prototyping and evaluation to deployment and monitoring.

High Level Architecture

🔧 Requirements

Python 3.10+
Google Cloud SDK
Terraform (for deployment)
Make (for development tasks)

📚 Documentation

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

Video Walkthrough:

Exploring the Agent Starter Pack: A comprehensive tutorial demonstrating how to rapidly deploy AI Agents using the Agent Starter Pack, covering architecture, templates, and step-by-step deployment.
6-minute introduction (April 2024): 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!

Contributing

Contributions are welcome! See the Contributing Guide.

Feedback

We value your input! Your feedback helps us improve this starter pack and make it more useful for the community.

Getting Help

If you encounter any issues or have specific suggestions, please first consider raising an issue on our GitHub repository.

Share Your Experience

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!

Disclaimer

This repository is for demonstrative purposes only and is not an officially supported Google product.

Terms of Service

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.

FAQs

What is agent-starter-pack?

CLI to bootstrap production-ready Google Cloud GenAI agent projects from templates. Visit Snyk Advisor to see a full health score report for agent-starter-pack, including popularity, security, maintenance & community analysis.

Is agent-starter-pack popular?

We’re still processing downloads data for the python package agent-starter-pack. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is agent-starter-pack well maintained?

We found that agent-starter-pack demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is agent-starter-pack safe to use?

The python package agent-starter-pack was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 7 January-2026, at 23:10 (UTC).

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