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Agent Starter Pack

Agent Starter Pack is a Python package and command-line tool that scaffolds AI agent projects from reusable templates, with supporting infrastructure for evaluation, CI/CD, observability and Google Cloud deployment.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Agent Starter Pack — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it to scaffold or extend a Google Cloud-oriented agent project when its documented templates and infrastructure workflow fit the task. Consider the maintenance-mode notice before starting a new project.

Who it is for

  • Developers building agent projects for Google Cloud.
  • Teams choosing among documented patterns such as ReAct, retrieval-augmented generation, multi-agent communication or real-time multimodal agents.
  • Developers who want project scaffolding for evaluation and deployment workflows around their agent code.

Documented uses

  • Create an agent project from a reusable template.
  • Explore agent patterns implemented with ADK, LangGraph or ADK for Java.
  • Set up a project structure that includes evaluation, CI/CD, observability and deployment infrastructure.
  • Add deployment and infrastructure scaffolding to an existing agent project.
Before you choose

Requirements & limits

  • The project is in maintenance mode: only critical fixes are planned, with no new features, templates or deployment targets.
  • New projects are directed to agents-cli; existing projects are directed to a migration guide.
  • The documented minimum Python version is 3.10, and deployment requires Terraform; Google Cloud SDK and Make are also listed prerequisites.
  • The repository is public and uses the Apache-2.0 license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Create an agent project with uv

Scaffold a new project from the Agent Starter Pack CLI.

Before you start

  • Python 3.10 or later.
  • uv installed.

Steps

  1. Run uvx agent-starter-pack create.

  2. Explore and customize the generated agent project.

Expected outcome

A starter agent project with backend, frontend and deployment infrastructure to explore and customize.

Guide limitations

  • The command scaffolds a project; deployment is a separate stage.
  • Agent Starter Pack is in maintenance mode, with critical fixes only and no new features, templates or deployment targets.
Documentation 1 ↗
Source-based practical guide

Add starter-pack infrastructure to an existing agent

Add production-oriented deployment and infrastructure scaffolding to an existing agent project.

Before you start

  • An existing agent project.
  • Python 3.10 or later and the documented development prerequisites.

Steps

  1. Open the existing project's root folder.

  2. Run uvx agent-starter-pack enhance.

Expected outcome

The README describes this command as adding deployment and infrastructure support to the existing project.

Guide limitations

  • The command's documented purpose is enhancement; the README does not make this command itself a deployment step.
  • The project is in maintenance mode.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
GoogleCloudPlatform/agent-starter-pack · Official homepage title · retained in its source language
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Related options

agents-cli — The README identifies it as the successor with active development and recommends it for new projects; existing Agent Starter Pack projects are directed to migrate.