Agent Starter Pack
CLI and skills for building AI agents on Google Cloud.
A solid operational layer for agent development on Google Cloud, but only if you're already in the GCP ecosystem. The CI/CD and observability features are well-executed; skip it if you need a visual builder or multi-cloud support.
- Developers building AI agents on Google Cloud
- Teams needing production-ready agent deployment pipelines
- Organizations standardizing agent development with CI/CD
- ML engineers scaling agent-based applications on GCP
- Teams not using Google Cloud infrastructure
- No-code users looking for a visual agent builder
- Those seeking a fully managed agent platform (e.g., Vertex AI Agent Builder)
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In short
Agent Starter Pack — CLI and skills for building AI agents on Google Cloud. Best for Developers building AI agents on Google Cloud, Teams needing production-ready agent deployment pipelines, Organizations standardizing agent development with CI/CD. Free to use.
Viability Score
How likely is Agent Starter Pack to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- CLI tool for scaffolding agent projects
- Built-in CI/CD pipelines via Cloud Build
- Agent evaluation with automated metrics
- Observability via Cloud Trace and BigQuery
- Skill system for reusable components
- Support for multiple agent frameworks
- Manual and automated workflow templates
- Integration with coding agents (Cline, Aider)
- Migration path from earlier Agent Starter Pack
- Production-ready project templates
- Setup command: uvx google-agents-cli setup
About Agent Starter Pack
Agent Starter Pack (agents-cli) is a command-line tool and skill system for rapidly building and deploying AI agents on Google Cloud. It provides production-ready project templates, built-in CI/CD pipelines, evaluation harnesses, and observability via Cloud Trace and BigQuery, letting developers skip boilerplate and focus on agent logic. Targeted at developers already using Google Cloud, it supports multiple agent frameworks and integrates seamlessly with coding agents like Cline and Aider. Key features include the `google-agents-cli` CLI for scaffolding projects, managing skills, and automating setup; pre-configured CI/CD pipelines via Cloud Build and Cloud Deploy; an evaluation framework with automated metrics; and deep observability integration with Cloud Trace and BigQuery. It also offers a migration path from the earlier Agent Starter Pack (predecessor) and supports both manual and automated agent development workflows. The tool's standout advantage is its end-to-end operational focus—CI/CD, evaluation, observability—all within the Google Cloud ecosystem. This makes it a strong choice for teams looking to operationalize agent development without reinventing infrastructure. Compared to managed platforms like Vertex AI Agent Builder, Agent Starter Pack offers more flexibility and control but requires more hands-on setup and is tightly tied to GCP. For developers committed to Google Cloud, Agent Starter Pack accelerates the journey from prototype to production with minimal overhead. Its open-source nature and CLI-first approach appeal to developer teams who want version-controlled, testable, and observable agent code.
Behind the Verdict
Agent Starter Pack is a pragmatic tool for Google Cloud-native developers who want to move from ad-hoc agent prototypes to production-ready pipelines. Its CLI and skill system cut down on boilerplate, and the deep integration with Cloud Trace and BigQuery for observability is a genuine differentiator—it's rare to get that level of monitoring out of the box. If your team uses Cloud Build and Cloud Deploy already, the CI/CD templates will feel like a natural extension. Where it falls short: non-Google Cloud users need not apply. There's no support for AWS or Azure, and the tool's value drops sharply outside GCP. It also isn't a visual builder—you'll be editing YAML and Python, so no-code teams should look at Vertex AI Agent Builder instead. The skill system is a nice reusable-component pattern, but documentation around custom skills is sparse, and the community is still small. Real-world caveat: the 'migration from earlier Agent Starter Pack' suggests some naming churn, so expect a few rough edges. When to pick this: you're a GCP shop, you want CI/CD built into agent scaffolding, and you care about observability from day one. When to pass: you're on another cloud, you prefer a managed visual platform, or you just want to prototype quickly without operational concerns. Compared to LangChain's LangGraph, Agent Starter Pack trades multi-provider flexibility for deeper GCP integration—especially around deployment and monitoring. In practice, we'd reach for this when operationalizing a handful of production agents on GCP, not for exploratory prototyping.
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Use Cases
- Deploy a customer support agent with automated CI/CD on Google Cloud
- Evaluate agent performance using built-in metrics and Cloud Trace
- Migrate an existing Agent Starter Pack project to the new agents-cli tool
- Set up observability for agent workflows with BigQuery logging
- Scaffold a multi-agent system using the skill template system
Limitations
- Agent Starter Pack is tightly coupled to Google Cloud, so it's not portable to other clouds.
- The project is still in early stages, with limited community and fewer example agents compared to established frameworks.
- The CLI requires Python and uv tooling, which may add setup friction for some teams.
Integrations
Resources & Guides
- Resourcegoogle.github.io
Agents Cli · Agent Starter Pack
Helpful link from google.github.io
- Quickstartgoogle.github.io
Getting Started · Agent Starter Pack
Get up and running fast from google.github.io
- Guidegoogle.github.io
Development · Agent Starter Pack
In-depth how-to from google.github.io
- Guidegoogle.github.io
Evaluation · Agent Starter Pack
In-depth how-to from google.github.io
- Guidegoogle.github.io
Deployment · Agent Starter Pack
In-depth how-to from google.github.io
Official links
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