Software Development & Delivery · Public

agents-cli

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot4.7k stars

507 forks · 3 contributors

Doramagic.ai Last verification date: 2026-07-05 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-05

What is agents-cli?

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/google/agents-cli, https://github.com/google/agents-cli#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

Repositorygoogle/agents-cli

4.7k stars · 507 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction and Installation

Related topics: CLI Commands and Agent Lifecycle, Agent Skills Reference

Source: https://github.com/google/agents-cli / Human Manual

CLI Commands and Agent Lifecycle

Related topics: Introduction and Installation, Agent Skills Reference, Templates, Deployment Targets, and Known Issues

Source: https://github.com/google/agents-cli / Human Manual

Agent Skills Reference

Related topics: CLI Commands and Agent Lifecycle, Templates, Deployment Targets, and Known Issues

Source: https://github.com/google/agents-cli / Human Manual

Templates, Deployment Targets, and Known Issues

Related topics: CLI Commands and Agent Lifecycle, Agent Skills Reference

Source: https://github.com/google/agents-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/google/agents-cli, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars4.7k stars

Forks507 forks

Contributors3 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using agents-cli with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Support per-eval-case ADK session state in `agents-cli eval generate`
github / github_issue
02
Add an optional AISP lifecycle contract for spec → scaffold → build → ev
github / github_issue
03
Add a proactive "verify against official docs" step before code generati
github / github_issue
04
Path traversal in remote-template scaffolding → arbitrary file write (ag
github / github_issue
05
Python version option for agents-cli deploy
github / github_issue
06
Add an optional AISP eval quality contract for dataset coverage, grading
github / github_issue
07
Add an optional AISP deployment readiness contract for eval, approval, d
github / github_issue
08
Provide a bundled GUI client or a standalone desktop app instead of rely
github / github_issue
09
`adk_a2a` (agent_runtime) scaffold does not set Vertex location before b
github / github_issue
10
agents-cli update floods console with Python UnicodeDecodeError tracebac
github / github_issue
11
repo init with cicd, for a2a ,adk , tool, and sub agent init.
github / github_issue
12
v0.5.0: deploy to agent_runtime builds on the CLI's own Python (sys.vers
github / github_issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

uvx google-agents-cli

Official start command · https://github.com/google/agents-cli#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agents-cli Manual

agents-cli is a command-line toolkit for building, evaluating, and deploying AI agents on Google Cloud. The CLI exposes a layered set of subcommands that correspond to the agent developmen...

Open the full manual

https://github.com/google/agents-cli Project Manual
Table of Contents
Introduction and Installation
Related Pages
Purpose and Scope
Prerequisites
Installation
Install uv if not already present

Introduction and Installation

Related topics: CLI Commands and Agent Lifecycle, Agent Skills Reference

Source: https://github.com/google/agents-cli / Human Manual

CLI Commands and Agent Lifecycle

Related topics: Introduction and Installation, Agent Skills Reference, Templates, Deployment Targets, and Known Issues

Source: https://github.com/google/agents-cli / Human Manual

Agent Skills Reference

Related topics: CLI Commands and Agent Lifecycle, Templates, Deployment Targets, and Known Issues

Source: https://github.com/google/agents-cli / Human Manual

Templates, Deployment Targets, and Known Issues

Related topics: CLI Commands and Agent Lifecycle, Agent Skills Reference

Source: https://github.com/google/agents-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.