google-agents-cli
Agents CLI — Agent Development Lifecycle toolchain for ADK
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, and low install friction. Install it if you are building agents on Google Cloud or want a coding agent to handle agent scaffolding and deployment. Skip it if you are not targeting Gemini Enterprise Agent Platform or prefer manual Google Cloud CLI workflows.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11+.
- For full functionality, Google Cloud credentials and optionally Node.js are needed; local development can use AI Studio API key.
- Low friction: pure Python wheel with 15 runtime dependencies including well-maintained packages (click, PyYAML, google-cloud-aiplatform).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most enterprise and open-source projects.
last release 2026-08-04 (10 days) · last repo commit 2026-08-04 · 5,633 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,836 downloads/mo, #12,843 on PyPI
Alternatives
Verify before relying
# Install via uv (recommended)
uvx google-agents-cli setup
# Or use directly
from google_agents_cli import cli
# Run a command
cli.main(['scaffold', 'my-agent'])- Whether the package works standalone without a coding agent IDE installed, or if integration with Antigravity/Claude Code/Codex is required for practical use.
- Performance and resource overhead of the 15 runtime dependencies in typical agent development workflows.
- Whether all CLI commands (deploy, publish, eval) work offline or require active Google Cloud connectivity.
What it is and what it does
google-agents-cli is a command-line toolchain designed to integrate with coding agents (Claude Code, Antigravity CLI, Codex, or similar) to streamline the full lifecycle of building and deploying agents on Google Cloud's Gemini Enterprise Agent Platform. It provides skills and CLI commands for scaffolding new agent projects, running local inference, evaluating agent behavior against datasets, grading traces, and deploying to Cloud Run, GKE, or Agent Runtime. The package bundles 15 runtime dependencies including google-cloud-aiplatform, cookiecutter for project templates, and rich for CLI output.
The tool is intended to reduce friction for coding agents learning how to build production agents—instead of requiring knowledge of multiple Google Cloud CLIs and services, a coding agent can ask agents-cli to handle scaffolding, evaluation, deployment, and observability. It also works as a standalone CLI for developers who prefer to run commands directly. Local development (create, run, eval) can use an AI Studio API key; cloud deployment requires Google Cloud credentials.
Use it for
- Scaffold a new agent project with deployment and CI/CD templates using `agents-cli scaffold` or `agents-cli scaffold enhance`.
- Run agent inference over evaluation datasets and grade traces to measure quality before deployment.
- Deploy a trained agent to Google Cloud (Cloud Run, GKE, Agent Runtime) with a single command.
- Register and publish an agent with Gemini Enterprise for organizational use.
- Integrate agent-building workflows into a coding agent's skill set so it can autonomously scaffold and deploy.
- Set up observability (Cloud Trace, logging, third-party integrations) for production agents.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, and low install friction. Install it if you are building agents on Google Cloud or want a coding agent to handle agent scaffolding and deployment. Skip it if you are not targeting Gemini Enterprise Agent Platform or prefer manual Google Cloud CLI workflows.
Install
google-agents-cli on PyPI
Before you install
Low friction: pure Python wheel with 15 runtime dependencies including well-maintained packages (click, PyYAML, google-cloud-aiplatform). Actively maintained—released 10 days ago with 5633 GitHub stars and no known vulnerabilities. Requires Python 3.11+.
Requires Python 3.11+. For full functionality, Google Cloud credentials and optionally Node.js are needed; local development can use AI Studio API key.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most enterprise and open-source projects.
Quickstart
# Install via uv (recommended)
uvx google-agents-cli setup
# Or use directly
from google_agents_cli import cli
# Run a command
cli.main(['scaffold', 'my-agent'])Verify before relying
- Whether the package works standalone without a coding agent IDE installed, or if integration with Antigravity/Claude Code/Codex is required for practical use.
- Performance and resource overhead of the 15 runtime dependencies in typical agent development workflows.
- Whether all CLI commands (deploy, publish, eval) work offline or require active Google Cloud connectivity.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagesclickPyYAMLcookiecutterjinja2google-cloud-aiplatformgoogle-cloud-resource-managergoogle-authrichbackoffrequestsa2a-sdktomlkitpsutilpython-dotenvpathspec |
| Maintenance | Actively maintained 10 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,836 / month, #12,843 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: google_agents_cli-1.3.1-py3-none-any.whl
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See also apm-cli · autokeren · google-adk · trinity-agent · boost-skill-cli · openai-codex-cli-bin · google-antigravity · detect_agent · vertexai · google-cloud-aiplatform