Được TopGit lập chỉ mục từ metadata GitHub: GoogleCloudPlatform/agent-starter-pack có 6.5k sao, viết chủ yếu bằng Python. Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
Tóm tắt dựng từ metadata GitHub của chính dự án — chưa có bài review TopGit. Trang sẽ tự động cập nhật khi bài review đầy đủ được xuất bản.
VÌ SAO CHƯA CÓ REVIEW
TopGit viết bài đầy đủ cho repo có nhiều sao nhất và được yêu cầu nhiều nhất. Trang này là snapshot trong thời gian chờ — xem README gốc ở tab READ ME.
⚠️ Agent Starter Pack is in maintenance mode — switch to agents-cli
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 with agents-cli; existing projects should migrate.
uvx google-agents-cli setup
Migration 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
☁️ 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
⚡ 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 && 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
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.
🌟 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.
🔧 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:
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!
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 [email protected].
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.
Đọc thêm về GoogleCloudPlatform/agent-starter-pack ở đâu?
Trang TopGit này là một snapshot — tab "Readme" hiển thị nguyên văn README của repo (đã bỏ link, giữ ảnh). Repo GitHub ở github.com/GoogleCloudPlatform/agent-starter-pack là nguồn chính thức.
GoogleCloudPlatform/agent-starter-pack có những chủ đề gì?
GitHub topics của GoogleCloudPlatform/agent-starter-pack: "agents", "gcp", "gemini", "genai-agents", "generative-ai", "llmops", "mlops", "observability". TopGit xếp repo vào nhóm AI Tools.
GoogleCloudPlatform/agent-starter-pack có phải mã nguồn mở không?
Có — GoogleCloudPlatform/agent-starter-pack phát hành theo license Apache-2.0, nghĩa là mã nguồn mở để đọc, fork và (tùy license) tái sử dụng. Mã: github.com/GoogleCloudPlatform/agent-starter-pack.
GoogleCloudPlatform/agent-starter-pack có trang demo không?
Dự án có trang chủ ở http://goo.gle/agents-cli. Tab "Readme" ở trang này thường có ảnh chụp và hướng dẫn bắt đầu nhanh.
GoogleCloudPlatform/agent-starter-pack còn đang phát triển không?
Commit gần nhất trên GoogleCloudPlatform/agent-starter-pack là 23 ngày trước (theo timestamp GitHub). Repo có 1.5k fork — một chỉ báo về mức độ quan tâm của cộng đồng.
GoogleCloudPlatform/agent-starter-pack dùng license gì?
GoogleCloudPlatform/agent-starter-pack phát hành theo license Apache-2.0. Nên mở file LICENSE trên GitHub để xác nhận — license metadata đôi khi lệch với thực tế dự án.
Đọc đầy đủ README ở tab phía trên.
Chưa chắc agent-starter-pack có hợp với bạn?
Để ChatGPT, Claude hoặc Perplexity tìm hiểu giúp — bấm bên dưới và xem AI nói gì về agent-starter-pack.