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

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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.

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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

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.

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.

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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 vs general) plus background delegate for read-only deep dives—parallelize like you mean it.
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

Autonomous agent testing (think: sandboxed machine, recorded runs, Replit-style “prove it works”—the kind of thing that makes flaky human QA nervous). Not shipped yet; when it lands, we’ll be insufferable about it.

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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 or explore 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.

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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.

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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.

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Project settings

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

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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

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License

MIT