There are many coding agents. This is Grok’s.

The rest borrowed from each other. We borrowed from all of them, then wired it to Grok—real-time X search, web search, **grok-code-fast-1** and the full Grok model lineup, sub-agents on by default, remote control via Telegram (pair once, drive the agent from your phone while the CLI runs), and a terminal UI that doesn’t feel like it was assembled in a hurry.

Open source. Terminal-native. Built with Bun and OpenTUI. If you want vibes and velocity, you’re in the right repo.

Community-built and unofficial. This project is not affiliated with or endorsed by xAI, and it is not the official Grok CLI.

https://github.com/user-attachments/assets/7ca4f6df-50ca-4e9c-91b2-d4abad5c66cb

Install

npm i -g grok-dev

The CLI binary is **grok** (yes, the package name and the command differ—deal with it).

Prerequisites: Node 18+ (for the global install), a Grok API key from x.ai, and a modern terminal emulator for the interactive OpenTUI experience. Headless --prompt mode does not depend on terminal UI support. If you want host desktop automation via the built-in computer sub-agent, also enable Accessibility permission for your terminal app on macOS.

Run it

Interactive (default) — launches the OpenTUI coding agent:

grok

Supported terminals

For the most reliable interactive OpenTUI experience, use a modern terminal emulator. We currently document and recommend:

• WezTerm (cross-platform)
• Alacritty (cross-platform)
• Ghostty (macOS and Linux)
• Kitty (macOS and Linux)

Other modern terminals may work, but these are the terminal apps we currently recommend and document for interactive use.

Pick a project directory:

grok -d /path/to/your/repo

Headless — one prompt, then exit (scripts, CI, automation):

grok --prompt "run the test suite and summarize failures"
grok -p "show me package.json" --directory /path/to/project
grok --prompt "refactor X" --max-tool-rounds 30
grok --prompt "summarize the repo state" --format json
grok --prompt "review the repo overnight" --batch-api
grok --verify

--batch-api uses xAI's Batch API for lower-cost unattended runs. It is a good fit for scripts, CI, schedules, and other non-interactive workflows where a delayed result is fine.

Continue a saved session:

grok --session latest
grok -s <session-id>

Works in interactive mode too—same flag.

Structured headless output:

grok --prompt "summarize the repo state" --format json

--format json emits a newline-delimited JSON event stream instead of the default human-readable text output. Events are semantic, step-level records such as step_start, text, tool_use, step_finish, and error.

Computer sub-agent

Grok ships a built-in **computer** sub-agent backed by [agent-desktop](https://github.com/lahfir/agent-desktop) for host desktop automation on macOS.

Ask for it in natural language, for example:

grok "Use the computer sub-agent to take a screenshot of my host desktop and tell me what is open."
grok "Use the computer sub-agent to launch Google Chrome, snapshot the UI, and tell me which refs correspond to the address bar and tabs."

Notes:

• Screenshots are saved under **.grok/computer/** by default.
• The primary workflow is snapshot -> refs -> action -> snapshot using agent-desktop accessibility snapshots and stable refs like @e1.
• computer_screenshot is available for visual confirmation, but the preferred path is computer_snapshot plus ref-based actions such as computer_click, computer_type, and computer_scroll.
• macOS requires System Settings → Privacy & Security → Accessibility access for the terminal app running grok.
• agent-desktop currently targets macOS.
• If Bun blocks the native binary download during install, run:

node ./node_modules/agent-desktop/scripts/postinstall.js

Scheduling

Schedules let Grok run a headless prompt on a recurring schedule or once. Ask for it in natural language, for example:

Create a schedule named daily-changelog-update that runs every weekday at 9am
and updates CHANGELOG.md from the latest merged commits.

Recurring schedules require the background daemon:

grok daemon --background

Use /schedule in the TUI to browse saved schedules. One-time schedules start immediately in the background; recurring schedules keep running as long as the daemon is active.

List Grok models and pricing hints:

grok models

Pass an opening message without another prompt:

grok fix the flaky test in src/foo.test.ts

Generate images or short videos from chat:

grok "Generate a retro-futuristic logo for my CLI called Grok Forge"
grok "Edit ./assets/hero.png into a watercolor poster"
grok "Animate ./assets/cover.jpg into a 6 second cinematic push-in"

Image and video generation are exposed as agent tools inside normal chat sessions. You keep using a text model for the session, and Grok saves generated media under .grok/generated-media/ by default unless you ask for a specific output path.

What you actually get

| Thing | What it means | | --------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Grok-native | Defaults tuned for Grok; models like **grok-code-fast-1, **grok-4-1-fast-reasoning**, **grok-4.20-multi-agent-0309**, plus flagship and fast variants—run grok models for the full menu. | | X + web search | **search_x and **search_web** tools—live posts and docs without pretending the internet stopped in 2023. | | Media generation | Built-in **generate_image** and **generate_video** tools for text-to-image, image editing, text-to-video, and image-to-video flows. Generated files are saved locally so you can reuse them after the xAI URLs expire. | | Sub-agents (default behavior) | Foreground **task** delegation (e.g. explore, general, or computer) plus background **delegate** for read-only deep dives—parallelize like you mean it. | | Verify | **/verify** or **--verify** — inspects your app, builds, tests, boots it, and runs browser smoke checks in a sandboxed environment. Screenshots and video included. | | Computer use | Built-in **computer** sub-agent for host desktop automation via **agent-desktop**. It prefers semantic accessibility snapshots and stable refs, with screenshots saved under **.grok/computer/** when requested. | | Custom sub-agents | Define named agents with **subAgents** in **~/.grok/user-settings.json** and manage them from the TUI with **/agents**. | | Remote control | Pair Telegram from the TUI (/remote-control → Telegram): DM your bot, **/pair, approve the code in-terminal. Keep the CLI running while you ping it from your phone. | | No “mystery meat” UI | OpenTUI React terminal UI—fast, keyboard-driven, not whatever glitchy thing you’re thinking of. | | Skills | Agent Skills under **.agents/skills/<name>/SKILL.md (project) or **~/.agents/skills/** (user). Use **/skills** in the TUI to list what’s installed. | | MCPs | Extend with Model Context Protocol servers—configure via **/mcps** in the TUI or **.grok/settings.json** (mcpServers). | | Sessions | Conversations persist; **--session latest** picks up where you left off. | | Headless | **--prompt** / **-p** for non-interactive runs—pipe it, script it, bench it. | | Hackable | TypeScript, clear agent loop, bash-first tools—fork it, shamelessly. |

Coming soon

Deeper autonomous agent testing — persistent sandbox sessions, richer browser workflows, and stronger "prove it works" evidence.

API key (pick one)

Environment (good for CI):

export GROK_API_KEY=your_key_here

**.env** in the project (see .env.example if present):

GROK_API_KEY=your_key_here

CLI once:

grok -k your_key_here

Saved in user settings — ~/.grok/user-settings.json:

{ "apiKey": "your_key_here" }

Optional **subAgents** — custom foreground sub-agents. Each entry needs **name**, **model**, and **instruction**:

{
  "subAgents": [
    {
      "name": "security-review",
      "model": "grok-code-fast-1",
      "instruction": "Prioritize security implications and suggest concrete fixes."
    }
  ]
}

Names cannot be general, explore, vision, verify, or computer because those are reserved for the built-in sub-agents.

Optional: **GROK_BASE_URL** (default https://api.x.ai/v1), **GROK_MODEL**, **GROK_MAX_TOKENS**.

Telegram (remote control) — short version

1. Create a bot with @BotFather, copy the token.
2. Set **TELEGRAM_BOT_TOKEN** or add **telegram.botToken** in ~/.grok/user-settings.json (the TUI **/remote-control** flow can save it).
3. Start **grok**, open **/remote-control** → Telegram if needed, then in Telegram DM your bot: **/pair**, enter the 6-character code in the terminal when asked.
4. First user must be approved once; after that, it’s remembered. Keep the CLI process running while you use the bot (long polling lives in that process).

Voice & audio messages

Send a voice note or audio attachment in Telegram and Grok will transcribe it locally with whisper.cpp before passing the text to the agent. No cloud STT service is involved — everything runs on your machine.

Prerequisites

| Dependency | Why | Install (macOS) | | --------------- | --------------------------------------------------------------- | -------------------------- | | whisper-cli | Runs the actual speech-to-text inference | brew install whisper-cpp | | ffmpeg | Converts Telegram voice notes (OGG/Opus) to WAV for whisper.cpp | brew install ffmpeg |

After installing, verify both are available:

whisper-cli -h
ffmpeg -version

Download a Whisper model

Grok CLI auto-downloads the configured model on first use, but you can pre-download it:

mkdir -p ~/.grok/models/stt/whisper.cpp
curl -L https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en.bin \
  -o ~/.grok/models/stt/whisper.cpp/ggml-tiny.en.bin

Available models (trade size for accuracy): tiny.en (75 MB), base.en (142 MB), small.en (466 MB).

Configure in ~/.grok/user-settings.json

{
  "telegram": {
    "botToken": "YOUR_BOT_TOKEN",
    "audioInput": {
      "enabled": true,
      "binaryPath": "/opt/homebrew/bin/whisper-cli",
      "model": "tiny.en",
      "modelPath": "~/.grok/models/stt/whisper.cpp/ggml-tiny.en.bin",
      "autoDownloadModel": true,
      "language": "en"
    }
  }
}

| Setting | Default | Description | | ------------------- | ----------------- | ------------------------------------------------------------------------ | | enabled | true | Set to false to ignore voice/audio messages entirely. | | binaryPath | whisper-cli | Absolute path or command name for the whisper.cpp CLI binary. | | model | tiny.en | Model alias used for auto-download resolution. | | modelPath | (auto-resolved) | Explicit path to a .bin model file. Overrides model + auto-download. | | autoDownloadModel | true | Download the model into ~/.grok/models/stt/whisper.cpp on first use. | | language | en | Whisper language code passed to the CLI. |

Optional headless flow when you do not want the TUI open:

grok telegram-bridge

Treat the bot token like a password.

Instructions & project brain

• **AGENTS.md** — merged from git root down to your cwd (Codex-style; see repo docs). **AGENTS.override.md** wins per directory when present.

Project settings

Project file: **.grok/settings.json** — e.g. the current model for this project.

Sandbox

Grok CLI can run shell commands inside a Shuru microVM sandbox so the agent can't touch your host filesystem or network.

Requires macOS 14+ on Apple Silicon.

Enable it with --sandbox on the CLI, or toggle it from the TUI with /sandbox.

When sandbox mode is active you can configure:

• Network — off by default; enable with --allow-net, restrict with --allow-host
• Port forwards — --port 8080:80
• Resource limits — CPUs, memory, disk size (via settings or /sandbox panel)
• Checkpoints — start from a saved environment snapshot
• Secrets — inject API keys without exposing them inside the VM

All settings are saved in ~/.grok/user-settings.json (user) and .grok/settings.json (project).

Verify

Run **/verify** in the TUI or **--verify** on the CLI to verify your app locally:

grok --verify
grok -d /path/to/your/app --verify

The agent inspects your project, figures out how to build and run it, spins up a sandbox, and produces a verification report with screenshots and video evidence. Works with any app type.

Development

From a clone:

bun install
bun run build
bun run start
# or: node dist/index.js

Other useful commands:

bun run dev      # run from source (Bun)
bun run typecheck
bun run lint

License

MIT