Agents CLI

<div align="center"> <img src="https://raw.githubusercontent.com/google/agents-cli/main/docs/src/assets/logo_sm.png" alt="agents-cli logo" width="120" /> <h1><code>agents-cli</code></h1> <p>The CLI and skills for building agents on Gemini platform.</p> <p> <a href="#get-started">Get Started</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="#agent-skills">Skills</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="#cli-commands">Commands</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="https://pypi.org/project/google-agents-cli/">PyPI</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="https://github.com/google/agents-cli/issues">Issues</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="https://google.github.io/agents-cli/">Docs</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="https://github.com/google/agents-cli/blob/main/RELEASE_NOTES.md">Release Notes</a> &nbsp;&nbsp;|&nbsp;&nbsp; <a href="https://github.com/google/agents-cli">Star us</a> </p> </div>

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Turn your favorite coding assistant into an expert at building and deploying agents on Google Cloud.

Agents CLI in Gemini platform (agents-cli) gives your coding agent the skills and commands to build, scale, govern, and optimize enterprise-grade agents — so you don't have to learn every CLI and service yourself.

Works seamlessly with: Antigravity CLI  •  Claude Code  •  Codex  •  and any other coding agent.

Get Started

Prerequisites: Python 3.11+, uv, and Node.js.

1. Install

uvx google-agents-cli setup

<details> <summary>Or just the skills — your coding agent will handle the rest</summary>

npx skills add google/agents-cli

</details>

2. Open your coding agent

Launch Antigravity CLI, Claude Code, Codex, or any coding agent you prefer.

3. Build your first agent

Ask your coding agent to build something — e.g. "Use agents-cli to build a caveman-style agent that compresses verbose text into terse, technical grunts"

See the full tutorial for a step-by-step walkthrough.

Browse the full documentation →

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Agent Skills

Skill	What your coding agent learns
google-agents-cli-workflow	Development lifecycle, code preservation rules, model selection
google-agents-cli-adk-code	ADK Python API — agents, tools, orchestration, callbacks, state
google-agents-cli-scaffold	Project scaffolding — create, enhance, upgrade
google-agents-cli-eval	Evaluation methodology — metrics, datasets, LLM-as-judge, adaptive rubrics
google-agents-cli-deploy	Deployment — Agent Runtime in Gemini platform, Cloud Run, GKE, CI/CD, secrets
google-agents-cli-publish	Gemini registration
google-agents-cli-observability	Observability — Cloud Trace, logging, third-party integrations

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CLI Commands

Command	What it does
agents-cli setup	Install CLI + skills to coding agents
agents-cli create <name> -y	Create a new agent project with defaults (adk_python template, agent_runtime target)
agents-cli eval run	Run the agent over the eval dataset and grade the traces
agents-cli deploy	Deploy to Google Cloud
agents-cli publish gemini	Register with Gemini

<details> <summary>See all commands</summary>

Command	Description
agents-cli login	Authenticate with Google Cloud or AI Studio
agents-cli login --status	Show authentication status
Scaffold
agents-cli create <name> -y	Create a new agent project with defaults (adk_python template, agent_runtime target)
agents-cli scaffold enhance	Add deployment or CI/CD to an existing project
agents-cli scaffold upgrade	Upgrade project to a newer agents-cli version
Develop
agents-cli run "prompt"	Run agent with a single prompt
agents-cli install	Install project dependencies
agents-cli lint	Run code quality checks (Ruff)
Evaluate
agents-cli eval run	Run agent inference and grade the traces
agents-cli eval generate	Run agent inference over eval cases
agents-cli eval grade	Grade generated traces against metrics
agents-cli eval dataset synthesize	Synthesize multi-turn eval scenarios for your local agent
agents-cli eval compare	Compare two eval result files
agents-cli eval analyze	Cluster failure modes from grade results
agents-cli eval metric list	List available metrics
agents-cli eval optimize	Auto-tune agent prompts using eval data
Deploy & Publish
agents-cli deploy	Deploy to Google Cloud
agents-cli publish gemini	Register with Gemini
agents-cli infra single-project	Provision single-project infrastructure
agents-cli infra cicd	Set up CI/CD pipeline + staging/prod infrastructure
Other
agents-cli info	Show project config and CLI version
agents-cli update	Force reinstall skills to all IDEs

</details>

How it works

<div align="center"> <a href="https://youtu.be/ECYKo70pPNc"> <img src="https://img.youtube.com/vi/ECYKo70pPNc/maxresdefault.jpg" alt="agents-cli demo video" width="100%" /> </a> </div>

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Architecture

The Google Cloud agent stack that agents-cli builds on:

FAQ

Is this an alternative to Antigravity CLI, Claude Code, or Codex?<br> No. agents-cli is a tool for coding agents, not a coding agent itself. It provides the CLI commands and skills that make your coding agent better at building, evaluating, and deploying ADK agents on Google Cloud.

How is this different from just using adk directly?<br> ADK is an agent framework. agents-cli gives your coding agent the skills and tools to build, evaluate, and deploy ADK agents end-to-end.

Do I need Google Cloud?<br> For local development (create, run, eval), no — you can use an AI Studio API key to run Gemini with ADK locally. For deployment and cloud features, yes.

Can I use this with an existing agent project?<br> Yes. agents-cli scaffold enhance adds deployment and CI/CD to existing projects.

Can I use agents-cli without a coding agent?<br> Yes. The CLI works standalone — you can run agents-cli scaffold, eval, deploy, and every other command directly from your terminal. The skills just make it easier for coding agents to do it for you.

How can I extend agents-cli with other skills?<br> agents-cli skills cover the agent-building lifecycle (scaffold, ADK code patterns, evals, deploy, publish, observability). For adjacent concerns, you could install another skill suite alongside. For example, agent-skills covers general software-engineering workflows (ideation, spec gates, planning, code review), and google/skills covers Google Cloud foundations (BigQuery, Cloud Run, Firebase, GKE). genai-factory has Terraform blueprints for enterprise GenAI infrastructure and ships as an extension: agents-cli extension add GoogleCloudPlatform/genai-factory.

Feedback

We value your input — it helps us improve agents-cli for the community.

• Bugs & feature requests: open an issue — 👍 the ones you want prioritized
• Share what you built: we'd love to hear about your projects! Reach out at <a href="mailto:agents-cli@google.com">agents-cli@google.com</a> to share your agent or provide feedback

Contributing

The best way to contribute is through feedback: bug reports, feature requests, and ideas shared via issues to directly shape our roadmap.

See the contributing guide for details.

Telemetry

By default, agents-cli emits a single usage signal per command invocation to help improve the tool and better understand how it's used. Each signal is a structured log entry written to your own Google Cloud project: GOOGLE_CLOUD_PROJECT, or else the default project of your Application Default Credentials (logName=projects/<project>/logs/agents-cli), where you can query it in Cloud Logging. It records only the metadata such as command name (e.g. deploy, scaffold.create), exit code, error class, duration (measured from command dispatch to exit, so it excludes CLI startup), CLI/Python versions, and OS — never file contents, arguments, or other input. Commands added by extensions are recorded without their names. A command an extension serves is marked as such, and the extension is named only if it was installed from a repository in the google GitHub organization.

The request that writes the entry also carries usage metadata in its User-Agent and X-Goog-Api-Client headers, which Google receives for agents-cli usage analytics: the CLI and Python versions, the OS and its release, the CPU architecture, the command name and a random per-invocation ID. The log entry's contents, such as the exit code, error class and duration, stay in your project.

To opt out of sending telemetry, use one of the following environment variables:

# our cli-specific variable
# 0, false, no, or off (case-insensitive):
export AGENTS_CLI_TELEMETRY=0

# donottrack.sh standard variable
export DO_NOT_TRACK=1

Use agents-cli info to see the current telemetry state.

Terms of Service

agents-cli leverages Google Cloud APIs. When you deploy agents, 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.