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antigravity-cli-google/antigravity-cli

antigravity-cli

google antigravity cli ide github agentic development platform gemini 3.5 flash terminal ai agent automatic coding workspace installation guide tutorial windows mac linux

Repository
41/100Agents
Stars118
Forks0
LanguageTypeScript
LicenseMIT

Usage guide

antigravity-cli is an open-source project around antigravity-ai, antigravity-cli-extensions, antigravity-ide with 118 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.

Repository license: MITCommercial use permitted, review additional terms

Key features

  • Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
  • GitHub detected the MIT 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.
  • GitHub is the main evaluation surface; review the README, issues, and recent commits first.

Best for

  • Evaluating antigravity-cli for TypeScript AI workflows.
  • Comparing a GitHub project with 118 stars and current repository activity.

Pros

  • antigravity-cli has visible GitHub traction with 118 stars. Topics: antigravity-ai, antigravity-cli, antigravity-cli-extensions.
  • The GitHub repository is the primary evaluation surface.

Cons

  • Production fit still depends on documentation depth, issue activity, and release cadence.
  • License review should confirm the MIT terms fit your use case.

Production readiness

antigravity-cli should be validated with its README, release history, open issues, and integration requirements before production use.

License risk

MIT is reported by GitHub; review the repository license before redistribution or commercial use.

Install tutorial

Before you install

  • Node.js and the package manager used by the project
  • A clean working directory for the first test run
1
Step 1

Check the runtime environment

antigravity-cli uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.

2
Step 2

Get the project files

Start from the official repository or package so the first run matches the documented behavior.

terminal
$ git clone https://github.com/antigravity-cli-google/antigravity-cli.git
3
Step 3

Install or build dependencies

Run the next setup command detected from the project documentation.

terminal
$ curl -fsSL https://antigravity.google/cli/install.sh | bash

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 antigravity-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 antigravity-cli?

antigravity-cli is an open-source ai agents project. google antigravity cli ide github agentic development platform gemini 3.5 flash terminal ai agent automatic coding workspace installation guide tutorial windows mac linux

How do I install antigravity-cli?

Start with the official README. The first detected setup step is: git clone https://github.com/antigravity-cli-google/antigravity-cli.git.

Is antigravity-cli beginner-friendly?

If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.

Can antigravity-cli be used commercially?

GitHub detected the MIT 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 antigravity-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 antigravity-cli?

Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.