GoogleCloudPlatform/agent-starter-pack

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

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Summary Information

Updated 34 minutes ago
Added to GitGenius on December 12th, 2025
Created on January 31st, 2025
Open Issues & Pull Requests: 49 (+0)
Number of forks: 1,500
Total Stargazers: 6,541 (+0)
Total Subscribers: 64 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 32.5 hours
Mean response time: 13.0 days
90th percentile: 39.9 days
Tracked items: 135

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 15% of issues opened in the past year have been closed. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 11
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 51 days
Stale 30+ days: 11
Stale 90+ days: 10

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (30)
  • help wanted (7)
  • bug (6)
  • question (3)
  • documentation (1)
  • good first issue (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

The Agent Starter Pack is a Python package developed by Google Cloud Platform that provides production-ready templates for deploying generative AI agents on Google Cloud infrastructure. The repository is designed to accelerate agent development by eliminating the need to build deployment infrastructure, CI/CD pipelines, observability systems, and security configurations from scratch. According to the README, the starter pack enables developers to ship AI agents to Google Cloud in minutes rather than months.

The repository offers multiple pre-built agent templates that developers can use as starting points. These include an ADK-based ReAct agent, an ADK agent with Agent2Agent protocol support for distributed agent communication, an agentic RAG agent for document retrieval and question-answering with support for Vertex AI Search and Vector Search, a LangGraph-based ReAct agent using LangChain, an ADK Java implementation, and an ADK Live agent for real-time multimodal RAG powered by Gemini with audio, video, and text chat capabilities. The repository indicates that additional agent templates are planned for future releases.

Key features of the starter pack include automated CI/CD setup supporting both Google Cloud Build and GitHub Actions, a data pipeline for RAG with Terraform and CI/CD integration, remote templates allowing users to create and share custom agent starter pack templates from any Git repository, and integration with Gemini CLI to provide in-terminal guidance about template architecture and production deployment paths. The package covers the complete agent development lifecycle from prototyping and evaluation through deployment and monitoring.

The most active labels tracked are enhancement with 30 items, help wanted with 7 items, and bug with 6 items.

It is important to note that according to the README, the Agent Starter Pack is currently in maintenance mode with active development having moved to agents-cli, which is described as the next evolution of the starter pack. The repository will continue to receive critical fixes only, with no new features, new templates, or new deployment targets planned. The README provides a migration guide for existing projects to transition to agents-cli, which offers a unified CLI, bundled coding-agent skills, end-to-end lifecycle tooling, and first-class support for Google Cloud's Agent Platform.