The agent-starter-pack is a collection of production-ready Generative AI Agent templates built for Google Cloud.
It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.
| ⚡️ Launch | 🧪 Experiment | ✅ Deploy | 🛠️ Customize |
|---|---|---|---|
| Pre-built agent templates (ReAct, RAG, multi-agent, Live Multimodal 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. |
Ready to build your AI agent? Simply run this command:
# Create and activate a Python virtual environment
python -m venv venv && source venv/bin/activate
# Install the agent starter pack
pip install agent-starter-pack
# Create a new agent project
agent-starter-pack create my-awesome-agentThat's it! You now have a fully functional agent project—complete with backend, frontend, and deployment infrastructure—ready for you to explore and customize. For more installation options, see the Installation Guide.
🆕 The starter pack offers full support for Agent Engine, a new fully managed solution to deploy agents. Simply run this command to get started:
agent-starter-pack create my-agent -d agent_engine -a langgraph_base_reactSee the full list of options for details.
| Agent Name | Description |
|---|---|
langgraph_base_react |
A agent implementing a base ReAct agent using LangGraph |
agentic_rag_vertexai_search |
A RAG agent using Vertex AI Search and LangGraph for document retrieval and Q&A |
crewai_coding_crew |
A multi-agent system implemented with CrewAI created to support coding activities |
multimodal_live_api |
A real-time multimodal RAG agent powered by Gemini, supporting audio/video/text chat with vector DB-backed responses |
More agents are on the way! We are continuously expanding our agent library. Have a specific agent type in mind? Contribute!
The agent-starter-pack offers two key features to accelerate and simplify the development of your agent:
- 🔄 CI/CD Automation (Experimental) - One command to set up a complete GitHub + Cloud Build pipeline for all environments
- 📥 Data Pipeline for RAG with Vertex AI Search and Terraform/CI-CD - Seamlessly integrate a data pipeline to process embeddings for RAG into your agent system.
This starter pack covers all aspects of Agent development, from prototyping and evaluation to deployment and monitoring.
This project represents the next evolution of the e2e-gen-ai-app-starter-pack. Building on the foundation of the original, we've made significant improvements:
- Streamlined CLI: A new command-line interface (
agent-starter-pack) simplifies project creation, template selection, and deployment. - Expanded Agent Options: Support for a wider variety of agent frameworks (LangGraph, CrewAI, and the Google Agent Framework SDK) and deployment targets (including Vertex AI Agent Engine).
- Simplified setup: Integrated gcloud authentication and projects and region configurations
- Python 3.10+
- Google Cloud SDK
- Terraform (for deployment)
See the documentation for more details:
- Why Use the Starter Pack?
- Installation
- Deployment
- Data Ingestion
- Observability
- CLI Reference
- Troubleshooting
Video Walkthrough: A 20-Minute Video Walkthrough is available, showcasing the previous e2e-gen-ai-app-starter-pack. A new walkthrough for the agent-starter-pack will be released soon!
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.