googleworkspace/cli
cli
Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
Usage guide
cli is an open-source project around agent-skills, ai-agent, automation with 29,083 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Rust, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating cli for Rust AI workflows.
- Comparing a GitHub project with 29,083 stars and current repository activity.
Pros
- cli has visible GitHub traction with 29,083 stars. Topics: agent-skills, ai-agent, automation.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
cli should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
cli architecture preview
cli's main path starts at the entry surface, runs through Agent orchestration runtime, combines Gemini, Runtime context, GitHub / APIs / webhooks / Shell commands, and returns Assistant response / action result.
Entry
CLI / terminal entry
cli is primarily entered through a developer command or terminal workflow.
npm install -g @googleworkspace/cli
Runtime
Agent orchestration runtime
The orchestration layer plans tasks, calls tools, manages context, and decides the next action.
agent workflow
Model
Gemini
Model calls are likely routed through Gemini based on README and topic signals.
Gemini
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub / APIs / webhooks / Shell commands
Tool adapters let the runtime act outside the model through GitHub / APIs / webhooks / Shell commands.
GitHub, APIs / webhooks, Shell commands
Output
Assistant response / action result
The final result is a response, action, or task completion returned through the active channel.
assistant output
Featured video
CodeRabbit
Introducing CodeRabbit CLI - Free AI Code Reviews in CLI
16,236,511 views · 2025-09-16
Install tutorial
Before you install
- Node.js and the package manager used by the project
- Local build tools for compiling the project
- A clean working directory for the first test run
Check the runtime environment
cli may require a local build toolchain. Check the compiler, package manager, and system dependencies first.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/googleworkspace/cli.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ npm install -g @googleworkspace/cliAdoption guidance and sources
Practical use cases
Agent workflow prototype
Use it to validate task decomposition, tool calling, memory, tool permissions, and result review loops.
Google Workspace CLI — one command-line tool for Drive, Gmail, Calenda
This is one of the documented reasons to evaluate cli before choosing a stack.
Focus area: agent-skills
This is one of the documented reasons to evaluate cli before choosing a stack.
AI Agents project comparison
Compare cli with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official cli setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented cli example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is cli?
cli is an open-source ai agents project. Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
How do I install cli?
Start with the official README. The first detected setup step is: git clone https://github.com/googleworkspace/cli.git.
Is cli beginner-friendly?
If you already know the Rust ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can cli be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does cli need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt cli?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.