Antigravity Cli logo

Antigravity Cli

OrganizationPopular
NousResearch
antigravity-cli

Operate the Antigravity CLI (agy): plugins, auth, sandbox.

Overview

PublisherNousResearch
Repositoryhermes-agent
Skill nameantigravity-cli
Stars
250.4K
Forks
53.5K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NousResearch on GitHub. Read the source before you install it.

Installation

Install the Antigravity Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/antigravity-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/autonomous-ai-agents/antigravity-cli .claude/skills/antigravity-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Antigravity Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Antigravity Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Antigravity Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Antigravity CLI (agy)

Operator guide for the Antigravity CLI, invoked as agy. Run all agy commands through the Hermes terminal tool; inspect its config and logs with read_file. This skill is reference + procedure — it does not wrap a network API, so there is nothing to authenticate from Hermes itself.

When to Use

  • Installing, updating, or smoke-testing the agy binary
  • Driving non-interactive agy --print / agy -p one-shots
  • Debugging Antigravity auth, sandbox, permissions, or plugin state
  • Reading Antigravity settings, keybindings, conversations, or logs

Mental model

Antigravity has two layers — keep them distinct or the guidance will be wrong:

  1. Shell wrapper commands — agy help, agy install, agy plugin, agy update, agy changelog. Run these through the terminal tool.
  2. Interactive in-session slash commands — /config, /permissions, /skills, /agents, etc. These only exist inside a running agy TUI session, not on the shell wrapper.

agy help shows the shell wrapper surface, NOT the in-session slash commands.

Prerequisites

  • The agy binary on PATH. Verify through the terminal tool: command -v agy && agy --version.
  • No env vars or API keys required by this skill — Antigravity manages its own auth via the OS keyring / browser sign-in (see Authentication below).

How to Run

Invoke every agy command through the terminal tool. Examples:

terminal(command="agy --version")
terminal(command="agy help")
terminal(command="agy plugin list")
terminal(command="agy --print 'Summarize the repo in 3 bullets'", workdir="/path/to/project")

For an interactive multi-turn TUI session, launch agy with pty=true (and tmux for capture/monitoring), the same pattern the codex / claude-code skills use. For one-shot smoke tests and scripted prompts, prefer agy --print (non-interactive).

To inspect Antigravity's own files, use read_file on the paths under Core paths below — do not cat them through the terminal.

Delegation patterns

agy is a coding-agent backend in the same family as codex / claude-code, so the same delegation shapes apply. Use these when handing real work (features, fixes, reviews, second opinions) to Antigravity rather than just smoke-testing.

One-shot (preferred for scripted prompts and second opinions)

terminal(command="agy -p 'Review this diff for bugs and security issues' --model 'Gemini 3.1 Pro (High)'", workdir="/path/to/repo", timeout=300)

-p is non-interactive: it runs the prompt and exits. Pick the engine with --model (run agy models for the exact display strings, e.g. 'Gemini 3.1 Pro (High)', 'Claude Opus 4.6 (Thinking)'). Add extra context roots with repeatable --add-dir.

Long / bounded runs (tests, builds, multi-file changes)

Background it and get notified on completion, the same as the codex skill:

terminal(command="agy -p 'Implement the change described in TASK.md and run the tests' --dangerously-skip-permissions", workdir="/path/to/repo", background=true, notify_on_complete=true)
# then: process(action="poll"/"log"/"wait", session_id=<id>)

Interactive multi-turn (PTY + tmux)

For a conversational session, launch agy -i (or bare agy) under pty=true with tmux for capture-pane / send-keys, exactly the pattern documented in the codex / claude-code skills. Resume later with --continue / -c or a specific --conversation <id>.

Parallel instances (batch sub-issue / worktree fan-out)

Create one git worktree per task and launch an independent agy -p in each (background), then collect results — same worktree fan-out the codex skill uses for batch issue fixing. Bound concurrency to what the machine and your review capacity can absorb.

Output + bounding caveat (differs from Claude Code)

  • agy -p returns plain text — there is no --output-format json and no result envelope with session_id / cost / turn count. Parse stdout directly; don't expect a JSON object.
  • There is no --max-turns. A print run is bounded by --print-timeout (default 5m). Raise it for long tasks: --print-timeout 20m. Pair with the terminal timeout= so the outer call doesn't cut the run short.

Orchestration boundary

Antigravity is a worker execution backend or third-opinion reviewer — an execution detail owned by the agent/profile running a task, NOT a first-class orchestration primitive. Do not put agy on a kanban board as its own card or treat it as a coordination layer; route work through the normal task graph and let the assigned worker choose agy (vs. codex/claude-code/direct tools) as its method. Reach for it explicitly only when the user asks, when a worker is configured to wrap it, or when you want a Gemini-family cross-check against another agent's plan or diff.

Core paths

  • Binary / entrypoint: agy
  • App data dir: ~/.gemini/antigravity-cli/
  • Settings file: ~/.gemini/antigravity-cli/settings.json
  • Keybindings file: ~/.gemini/antigravity-cli/keybindings.json
  • Logs: ~/.gemini/antigravity-cli/log/cli-*.log
  • Conversations: ~/.gemini/antigravity-cli/conversations/
  • Brain artifacts: ~/.gemini/antigravity-cli/brain/
  • History: ~/.gemini/antigravity-cli/history.jsonl
  • Plugin staging: ~/.gemini/antigravity-cli/plugins/<plugin_name>/

Quick Reference

Wrapper commands

  • agy changelog
  • agy help
  • agy install
  • agy plugin / agy plugins
  • agy update

Useful flags

  • --add-dir
  • --continue / -c
  • --conversation
  • --dangerously-skip-permissions
  • --print / -p
  • --print-timeout
  • --prompt
  • --prompt-interactive / -i
  • --sandbox
  • --log-file
  • --version

Plugin subcommands (agy plugin --help)

  • list, import [source], install <target>, uninstall <name>, enable <name>, disable <name>, validate [path], link <mp> <target>, help

Install flags (agy install --help)

  • --dir, --skip-aliases, --skip-path

In-session slash commands

  • Conversation control: /resume (/switch), /rewind (/undo), /rename <name>, /clear, /fork, /reset, /new
  • Settings & tools: /config, /settings, /permissions, /model, /keybindings, /statusline, /tasks, /skills, /mcp, /open <path>, /usage, /logout, /agents
  • Prompt helpers: @ path autocomplete, esc esc clears the prompt (when not streaming), ! runs a terminal command directly, ? opens help

Settings and permissions

Common settings keys (settings.json)

  • allowNonWorkspaceAccess
  • colorScheme
  • permissions.allow
  • trustedWorkspaces

Permission modes

request-review, always-proceed, strict, proceed-in-sandbox.

Sandbox behavior

  • enableTerminalSandbox is a boolean in settings.json; default false.
  • Launch-time overrides (--sandbox, --dangerously-skip-permissions) can supersede persistent settings for the current session.

Authentication behavior

  • The CLI tries the OS secure keyring first.
  • With no saved session, it falls back to browser-based Google sign-in.
  • Locally it opens the default browser; over SSH it prints an authorization URL and expects the auth code pasted back.
  • /logout removes saved credentials.

Plugins

  • Plugins stage under ~/.gemini/antigravity-cli/plugins/<plugin_name>/.
  • They can bundle skills, agents, rules, MCP servers, and hooks.
  • agy plugin list returning no imported plugins is a valid empty state.

Pitfalls

  • agy help shows wrapper commands, not interactive slash commands.
  • agy --version is the safe non-interactive version check; agy version is interactive and can fail without a real TTY.
  • First place to look for failures: ~/.gemini/antigravity-cli/log/cli-*.log (read with read_file).
  • Don't confuse persistent JSON settings with launch-time overrides.
  • ~/.gemini/antigravity-cli/bin/agentapi is a thin wrapper to agy agentapi.
  • On WSL, token storage is file-based, so auth issues are usually local-file / session-state problems, not browser-only problems.
  • Workspace identity can depend on launch directory and the .antigravitycli project marker.
  • agy -p prints plain text only — no --output-format json, no result envelope. Don't try to parse a JSON object out of it (unlike claude-code).
  • Bound print runs with --print-timeout (default 5m), not --max-turns (which does not exist on agy).

Verification

Confirm the install is real and usable, all through the terminal tool (read files with read_file):

  1. terminal(command="command -v agy")
  2. terminal(command="agy --version")
  3. terminal(command="agy help")
  4. terminal(command="agy plugin list")
  5. read_file on ~/.gemini/antigravity-cli/settings.json
  6. read_file on the latest ~/.gemini/antigravity-cli/log/cli-*.log
  7. If needed, read_file on ~/.gemini/antigravity-cli/keybindings.json

Support files

  • references/cli-docs.md — condensed notes from the getting-started, usage, and features docs.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Antigravity Cli AI skill do?

Operate the Antigravity CLI (agy): plugins, auth, sandbox.

Why use Antigravity Cli on TypingMind?

Because you install it once and use it with any model. Antigravity Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Antigravity Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/antigravity-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Antigravity Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Antigravity Cli?

As many as you like. As long as a model supports skills, you can use Antigravity Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Antigravity Cli AI skill free?

Yes. It is published on GitHub by NousResearch under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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