agents-cli: what it is, what problem it solves & why it's gaining traction

What it solves

It simplifies the process of building, scaling, governing, and optimizing enterprise-grade AI agents on the Gemini Enterprise Agent Platform. It removes the need for developers to manually learn every specific CLI and service required to deploy agents on Google Cloud by providing a standardized set of tools and "skills" that can be used either by humans or by coding assistants.

How it works

agents-cli provides a command-line interface and a set of specialized skills that integrate with coding agents (like Claude Code or Codex). These skills teach the coding agent how to handle the development lifecycle, use the ADK Python API for orchestration, scaffold projects, run evaluations, and manage deployment to Google Cloud services like Cloud Run and GKE.

Who it’s for

Developers building AI agents using the ADK framework who want to automate the development-to-deployment pipeline on Google Cloud, as well as users of coding agents who want their assistants to be experts in the Google Cloud agent stack.

Highlights

• Coding Agent Integration: Specifically designed to give coding assistants the skills to build and deploy agents.
• End-to-End Lifecycle: Covers everything from project scaffolding (scaffold) and local development (run) to evaluation (eval) and deployment (deploy).
• Evaluation Suite: Includes tools for synthesizing multi-turn evaluation scenarios, grading traces, and auto-tuning prompts based on eval data.
• Cloud Native: Seamlessly integrates with Google Cloud infrastructure, including CI/CD pipelines and datastore provisioning for RAG.