---
id: 7597
canonical_url: "https://phying.com/item/7597"
source_url: "https://github.com/google/artemis"
source_domain: "github.com"
title: "Google ARTEMIS: Natural-Language Driven Android Automation & Mobile AI Agent Framework"
type: "tool"
severity: "unknown"
cve: null
published_at: "2026-09-12T03:00:58Z"
lang: "en"
---

# Google ARTEMIS: Natural-Language Driven Android Automation & Mobile AI Agent Framework

[![ARTEMIS Banner](https://raw.githubusercontent.com/google/artemis/main/docs/assets/artemis-banner.png?v=7)](https://github.com/google/artemis/blob/main/docs/assets/artemis-banner.png?v=7)

**Let AI assistants and test suites use real phones like a human.**

[**English**](https://github.com/google/artemis/blob/main/README.md) •
  [中文文档](https://github.com/google/artemis/blob/main/README_CN.md) •
  [Workflow Showcase](#workflow-showcase) •
  [Quick Start](#quick-start) •
  [MCP for IDEs](#mcp-setup) •
  [Benchmarks](#benchmarks) •
  [Discord Community](https://discord.gg/wF2FN4WHGY)

[![Python 3.12+](https://camo.githubusercontent.com/4ddc94b8bcac1a54b24dce3cea2a7f3fef92e5a6f3f1965d9f2235e6748d9ed4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f507974686f6e2d332e31322b2d3337373641422e7376673f6c6f676f3d707974686f6e266c6f676f436f6c6f723d7768697465)](https://www.python.org/downloads/)
  [![License: Apache-2.0](https://camo.githubusercontent.com/a549a7a30bacba7bfceebdc207a8e86c3f2c02995a2527640dca30048fd2b64e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d417061636865253230322e302d626c75652e737667)](https://github.com/google/artemis/blob/main/LICENSE)
  [![MCP Native](https://camo.githubusercontent.com/d050b5e886ae12f6d0e4b22cbb057eb1ad3b7f519a98e56ad4f94242f8381ae3/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4d43502d4e61746976652532305365727665722d3841324245322e737667)](https://modelcontextprotocol.io/)
  [![Multi-Model](https://camo.githubusercontent.com/a14df61f838aa3b4441138913792f20fd3f1fbd7e88151b6a4c5c0c17db186eb/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4d756c74696d6f64616c2d47656d696e69253230253743253230436c617564652532302537432532304750542d2d346f2532302537432532305177656e2d2d564c2d3432383546342e737667)](https://ai.google.dev/)
  [![AndroidWorld SOTA](https://camo.githubusercontent.com/d6c9fb6d45bb0718025b887ea1c7e090327ed83eccef6fe6e6fd7fe013897ac2/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f416e64726f6964576f726c642d3939253235253242253230534f54412d737563636573732e737667)](https://github.com/google-research/android_world)

[![Artemis in Action](https://raw.githubusercontent.com/google/artemis/main/docs/assets/demo.gif)](https://github.com/google/artemis/blob/main/docs/assets/demo.gif)

        [![](https://raw.githubusercontent.com/google/artemis/main/docs/assets/demo.gif)](https://github.com/google/artemis/blob/main/docs/assets/demo.gif)

  *Live Demo: Setup driving routes and calculate total durations in Google Maps, then open YouTube to play a Coldplay song.*

## Key Highlights

- **Cross-App Automation**: Executes testing workflows and everyday tasks on Android from natural language instructions.

- **Multimodal Targeting**: Uses element indices when available, with coordinate and visual locating fallbacks for custom interfaces.

- **IDE Diagnostics**: **Model Context Protocol (MCP)** integration lets **Antigravity, Claude Code, and Windsurf** drive test devices and collect **Logcat** output and screenshots.

- **Flash Execution**: A reactive observe-and-act loop with asynchronous history summaries, typically **3–5s per step**.

- **Pro Exploration**: Checks targets before individual actions and returns blocked actions to the Operator for recovery. Supports long-running exploratory and stability tests.

- **AndroidWorld Results**: **99%+ task completion** on Google Research's **AndroidWorld** benchmark (100+ multi-step tasks).

## Antigravity × ARTEMIS: Autonomous Testing Workflow

**Antigravity** uses **ARTEMIS** through MCP to turn a test request into a plan, device execution, and a diagnostic report:

  | **1. Prompt Input (Task Dispatch)**

      Describe your test scenario and target metrics in Antigravity

      [![Step 1: Prompt Input in Antigravity](https://raw.githubusercontent.com/google/artemis/main/docs/assets/workflow-1-prompt.png)](https://github.com/google/artemis/blob/main/docs/assets/workflow-1-prompt.png) | **2. Test Plan Generation**

      Formulates a step-by-step test plan & architecture for review

      [![Step 2: Test Plan Generation](https://raw.githubusercontent.com/google/artemis/main/docs/assets/workflow-2-plan.png)](https://github.com/google/artemis/blob/main/docs/assets/workflow-2-plan.png) |

  | **3. Autonomous Test Execution**

      Drives real device, navigates UI, and profiles performance

      [![Step 3: Autonomous Test Execution](https://raw.githubusercontent.com/google/artemis/main/docs/assets/workflow-3-exec.png)](https://github.com/google/artemis/blob/main/docs/assets/workflow-3-exec.png) | **4. Final Report**

      Delivers structured audit findings, metric tables, and raw datasets

      [![Step 4: Final Report](https://raw.githubusercontent.com/google/artemis/main/docs/assets/workflow-4-report.png)](https://github.com/google/artemis/blob/main/docs/assets/workflow-4-report.png) |

## Quick Start

Ensure an Android device (with **USB Debugging** enabled) or emulator is connected. The one-click startup script will automatically:

- **Install System Toolchains**: Detect and auto-install ADB, scrcpy, FFmpeg, and Python (`uv`) dependencies.

- **Mount Global MCP Server & AI Agent Rules**: Prompt to automatically install global MCP configurations and the **Artemis Mobile Testing Mindset (`rules.md`)** into your AI IDEs (**Antigravity**, **Cursor**, **Claude Code**, **Codex**, **Windsurf**, **VS Code**, **Cline/Roo**, **OpenClaw**).

### macOS and Linux

```
# 1. Clone repo & navigate to directory
git clone https://github.com/google/artemis.git && cd artemis

# 2. One-click launch
./start.sh
```

### Windows PowerShell

```
# 1. Clone repo & navigate to directory
git clone https://github.com/google/artemis.git
cd artemis

# 2. One-click launch
.\start.bat
```

> PowerShell does not search the current directory for executable scripts by default, so use `.\start.bat` without a trailing `\`. In Command Prompt (CMD), use `start.bat` instead.

> **Tip**: Opens `http://localhost:8000` in your default browser with a device connection wizard, live screen mirroring, prompt sandbox, and execution replays. You can also run directly from CLI: `uv run artemis run "Open Settings, find Battery and tell me current level" --profile flash`.

**MCP Setup for Codex / Antigravity / Claude Code / Windsurf (Click to expand)**

ARTEMIS includes a native **Model Context Protocol (MCP)** server. Connect your real phone directly into AI IDEs:

### 1. One-Click Auto Install (Recommended)

Running `./start.sh` (macOS/Linux) or `.\start.bat` (Windows PowerShell) will prompt you to configure global MCP and testing rules for detected IDEs (or you can install/update anytime later manually using the commands below):

```
# Auto-install MCP server & global rules for Antigravity / Jetski:
uv run artemis mcp --install antigravity

# Or install for all supported AI IDEs (including Codex):
uv run artemis mcp --install all
```

> **Tip**: You can also configure MCP interactively during first-time setup via `uv run artemis init`.
> **Pro Tip**: If you want to use the `artemis` command globally without `uv run` in any directory, run `uv tool install -e .` once in the project root.

### 2. Manual Configuration (Optional)

If you prefer to configure manually, run `uv run artemis mcp --generate-config <client>` (for example, `codex` or `antigravity`) to output the appropriate TOML or JSON snippet. Replace `/path/to/artemis` with your actual repo path and point `command` to your `.venv` Python executable:

- **Codex** (`~/.codex/config.toml`):

```
[mcp_servers.artemis]
command = "/path/to/artemis/.venv/bin/python"
args = ["-m", "mcp_server"]
cwd = "/path/to/artemis"

[mcp_servers.artemis.env]
PYTHONUNBUFFERED = "1"
PYTHONPATH = "/path/to/artemis"
```

- **Antigravity** (`~/.gemini/jetski/mcp_config.json`):

```
{
  "mcpServers": {
    "artemis": {
      "command": "/path/to/artemis/.venv/bin/python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/artemis",
      "env": {
        "PYTHONUNBUFFERED": "1"
      },
      "tools": {
        "mobile_run_task": { "eager": true },
        "mobile_manage_task": { "eager": true },
        "mobile_get_device_state": { "eager": true },
        "mobile_inspect_trace": { "eager": true },
        "mobile_diagnose": { "eager": true }
      }
    }
  }
}
```

- **Claude Desktop** (`claude_desktop_config.json`):

```
{
  "mcpServers": {
    "artemis": {
      "command": "/path/to/artemis/.venv/bin/python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/artemis"
    }
  }
}
```

### 3. Mount Behavioral Rules for AI Agents (Highly Recommended)

To ensure your AI coding assistant acts with the rigor of a senior mobile test engineer and never hallucinates UI interactions, we provide a dedicated testing mindset rules file at [`mcp_server/rules.md`](https://github.com/google/artemis/blob/main/mcp_server/rules.md) (covering **Active Exploration before coding**, **Flash vs. Pro routing strategy**, **Latency & Timing compensation**, and the **"Dynamic-First, Coordinate-Fallback" locator pattern**).

You can mount or copy [`mcp_server/rules.md`](https://github.com/google/artemis/blob/main/mcp_server/rules.md) into your AI IDE's rule configuration:

- **Antigravity**: Add the contents of `rules.md` to your Workspace Rules, Global Rules settings, or agent instructions.

- **Claude Code**: Run `artemis mcp --install claude` to install the rules to `~/.claude/rules/artemis.md` (install to exactly one location — Claude Code loads both `~/.claude/CLAUDE.md` and `~/.claude/rules/*.md`, so duplicating the rules wastes context).

- **Cursor**: Copy the contents into `.cursorrules` or create a rule file at `.cursor/rules/artemis.mdc`.

- **Codex**: Add the contents to `~/.codex/AGENTS.md` (or the active `AGENTS.override.md`).

- **Windsurf / OpenClaw**: Add the rules to your workspace rules or global system prompts.

> For more details on the testing mindset and MCP architecture, see the [MCP Server README](https://github.com/google/artemis/blob/main/mcp_server/README.md).

### 4. Prompt Your Phone in the IDE Chat

In Codex, Antigravity, or Claude Code, simply prompt:

> *"Build the latest changes into an APK, install it on the connected device, open the login screen with a test account, verify if there are any unexpected popups after login, and return screenshots of the final page."*

**Python SDK Integration (Click to expand)**

Install the zero-runtime-dependency client on the development machine. ADB,
agents, models, and image processing remain on the device host:

```
uv add "artemis-client @ git+https://github.com/google/artemis.git#subdirectory=packages/artemis-client"
```

```
import asyncio
from artemis_client import ArtemisClient

async def main():
    client = ArtemisClient(
        "http://artemis-host:8000",
        device_serial="emulator-5554",  # optional: target specific device serial
        default_profile="flash",  # "flash" (fast reactive) or "pro" (deep reasoning)
    )

    result = await client.run(
        "Open System Settings, go to 'Battery', verify battery percentage is displayed, and check for any crash dialogs.",
    )

    assert result.succeeded, f"Test failed: {result.error or result.status}"
    print(f"✅ Test Passed! Device: {result.device_serial} | Trace ID: {result.trace_id}")

if __name__ == "__main__":
    asyncio.run(main())
```

## Usage Modes

[![Artemis Web Console](https://raw.githubusercontent.com/google/artemis/main/docs/assets/artemis-ui-showcase-en.png)](https://github.com/google/artemis/blob/main/docs/assets/artemis-ui-showcase-en.png)

  **Console Overview**: **① View Switcher** (Home / Workspace) · **② Model & Replay** (Flash/Pro status & video replay) · **③ Live Agent Stream** (Action perception, target coordinates & structured results) · **④ Prompt Dock** (Natural language dispatch) · **⑤ Task Queue & Dashboard** (Lifecycle & history)

- **Web Visual Test Console (`uv run artemis ui`)**: Real-time screen projection and interactive panel, supporting natural language test dispatch, live reasoning telemetry, action trajectories, and execution replay; manage server lifecycle anytime from any terminal using `uv run artemis restart`, `uv run artemis stop`, and `uv run artemis status`;

- **MCP Server**: Connects **Antigravity, Claude Code, Windsurf**, and other MCP clients to real devices for bug reproduction and test execution;

- **Developer CLI (`uv run artemis run`)**: Direct terminal execution for automated test cases, exploratory stability inspection, or AndroidWorld benchmarks with high-fidelity structured terminal output;

- **Python SDK**: Integrates as a standard Python library into existing automated testing frameworks (e.g., pytest) or CI/CD pipelines with strongly typed Pydantic structured outputs and assertion support.

## What ARTEMIS Installs on Your Phone

The first task on a device installs the **Artemis Accessibility Helper**, a small
accessibility service that reads the screen layout without taking the
UiAutomation connection. Tools using UiAutomation can suppress the helper unless
they enable `FLAG_DONT_SUPPRESS_ACCESSIBILITY_SERVICES`. You will see
a collapsed "Artemis test helper is running" notification and a new entry under
Settings > Accessibility; both are that helper. It listens only on the phone
itself and sends nothing elsewhere.

- Pre-install it (avoids the ~3 s delay on the first task): `uv run artemis helper install`

- Inspect it: `uv run artemis helper status` / `uv run artemis doctor`

- Remove it any time: `uv run artemis helper uninstall`

- Use UIAutomator2 instead: `ARTEMIS_HIERARCHY_BACKEND=uiautomator` in `.env`

- Prevent automatic installation: `ARTEMIS_HELPER_AUTO_INSTALL=false` in `.env`

If the helper ever fails mid-task, ARTEMIS falls back to UIAutomator2 and says
so in the task timeline, in `mobile_manage_task` status, and in the final report.

## Benchmarks: AndroidWorld (SOTA 99%+)

Artemis achieved a **99%+ completion rate** on [AndroidWorld](https://github.com/google-research/android_world), Google Research's benchmark spanning 20+ apps and 100+ multi-step tasks.

[![AndroidWorld Benchmark Comparison](https://raw.githubusercontent.com/google/artemis/main/docs/assets/androidworld_leaderboard.png?v=2)](https://github.com/google/artemis/blob/main/docs/assets/androidworld_leaderboard.png?v=2)

## How ARTEMIS is Architected

- **Pre-Execution Checks and Action Bursts**: Pro checks the target against the live UI tree and pixels before dispatching an individual action. Action bursts handle transient controls without waiting for another model turn.

- **Element Locating**: Combines accessibility hierarchies and OCR with visual models for custom Canvas, Compose, and Flutter interfaces.

- **Shared History Compression**: Flash and Pro replace older screenshots with visual summaries and compress completed steps into searchable history chunks. Context thresholds control when raw turns are replaced.

[![ARTEMIS System Architecture Diagram](https://raw.githubusercontent.com/google/artemis/main/docs/assets/artemis_architecture_diagram.png)](https://github.com/google/artemis/blob/main/docs/assets/artemis_architecture_diagram.png)

## Execution Profiles: Flash vs. Pro

ARTEMIS supports two execution profiles tailored for different automation requirements:

- **Flash Profile (`--profile flash`)**: Fast and token-efficient reactive loop (~3–5s per step): one model observes the live screen, thinks, and acts, with no graph orchestration. Ideal for routine, deterministic UI tasks. The loop is unbounded by default (`agent.flash.max_turns`, 0 = unlimited) because history is compressed rather than capped: Flash shares the Pro session transcript ledger (session-relative `T+mm:ss` clock, screenshots folded into visual summaries, older steps chunked into eras and recallable on demand via `search_history` / `replay_steps`) and can query the session recording through `video_analyzer`. Transient UI (auto-fading control bars, toasts) is handled by chaining taps into one `click_sequence`. *Limitations*: No task plan or notes, no pre-execution safety net, no checkpoint verification or final report, and no ADB shell.

- **Pro Profile (`--profile pro`)**: A planning and verification workflow (~15–40s per step), built as a multi-agent graph. A **Planner** maintains a living Markdown task plan with milestones and `verify` / `assert` check items; the **Operator** executes it with the full toolset (Explorer grounding whose `flash` / `pro` / `ultra` tier is a user setting per profile — `pro.explorer.mode` / `flash.explorer_mode` in `config/artemis.jsonc` or `--explorer-pro-mode` — never chosen by the agent; notes, history recall, video analysis, ADB diagnostics). Every single action passes a pre-execution **Safety Net** (XML-first, pixel fallback), while multi-action **fast-action bursts** fire back to back to beat turn latency on transient UI. A blocked or failed action opens an **execution incident** that stays in the Operator's context until a later action succeeds, so recovery is handled by the Operator itself with no separate repair agent. A read-only **Checker** verifies plan checkpoints and runs an exit final review against the original goal (`--verification-level`: `off` / `final` (default) / `checkpoints` / `strict`), and plan milestone edits get an advisory review. Handles 100+ step long-horizon workflows, `[Loop:continuous]` monitoring, and an optional written report.

## Roadmap

- **Android Studio Integration**: Native IDE plugin and workflow integration to enable in-editor debugging, test recording, and automated device control directly within Android Studio.

- **iOS Platform Expansion**: Extending multimodal perception and mobile automation to iOS devices and simulators.

- **On-Device Lightweight VLMs**: Local execution with lightweight edge vision models for low-latency, privacy-first automation.

- **Real-time Duplex Voice Interaction**: Voice-driven task dispatch with real-time conversational control and interruption handling.

## Community & Contributing

Contributions are warmly welcomed!

- **Star the repo** to follow updates and releases

- Join the [Discord Community](https://discord.gg/wF2FN4WHGY) for technical discussions

- Open an [Issue](https://github.com/google/artemis/issues) or submit a [Pull Request](https://github.com/google/artemis/pulls)

## License

This project is licensed under the [Apache License 2.0](https://github.com/google/artemis/blob/main/LICENSE).

### Third-party code

Code not owned by Google lives under [`third_party/`](https://github.com/google/artemis/blob/main/third_party), one directory per upstream project, each with its own `LICENSE` and `METADATA`.

- [`third_party/mobile_use`](https://github.com/google/artemis/blob/main/third_party/mobile_use) – portions of [mobile-use](https://github.com/minitap-ai/mobile-use) by Minitap, Inc., Apache License 2.0.

---
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