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A mobile GUI agent framework for Android.

OpenGUI helps AI agents see, understand, and operate Android app interfaces on real devices.

Recommended: use OpenGUI directly in DeepSeek Harness.
Paste one prompt into Codex. It downloads the verified plugin, installs it into DSH, and opens DSH. No full backend deployment is required.

Demo

OpenGUI reads a real Android app UI, plans the next step, takes mobile actions, and returns structured results.

Use OpenGUI in DeepSeek Harness

The shortest path on macOS is to let Codex run the pinned installer Skill. It requires Node.js 22.19+ or 24+ and installs the compatible DSH version automatically. Paste this as one prompt:

Install and run the OpenGUI installer Skill from https://github.com/Core-Mate/OpenGUI/tree/dsh-coremate-mobile-v0.1.5/deepseek-harness-plugin/skills/opengui-coremate-install for my DSH web profile. Only ask me for phone-side authorization and model credentials.

The Skill downloads the public release package and checksum, verifies SHA-256, installs only the OpenGUI plugin, starts DSH when needed, and opens DSH. It preserves unrelated DSH plugins and settings. If DSH was already running, restart it once to load the plugin. For Linux or Windows, use the manual package guide.

After installation, add or select a DSH workspace, connect and select an authorized Android phone, then send:

@OpenGUI Open Settings and report the Android version

The plugin adds phone and browser operation to DSH without requiring the full OpenGUI backend stack. See more use cases or download the v0.1.5 release package.

Good fits include:

• automated UI operation and regression testing on authorized devices
• social media management and lead research, with human confirmation before publishing, messaging, or account changes
• repetitive game testing and in-game workflows where the account owner and game rules permit automation

For GUI execution, our current recommendation order is:

Priority	Model family	Guidance
1	Doubao VLM	Recommended first for visual GUI execution.
2	Qwen VLM	A practical alternative, but some social media prompts may be more sensitive to model safety policies.
3	OpenAI vision-capable models	Capable, but generally the higher-cost option for screenshot-heavy tasks.
4	Grok vision-capable models	Experimental for this workflow; tool use and action reliability still need more validation.

Model availability, pricing, and policy behavior vary by version and region. Whichever provider you choose, the model must support both image input and tool calling.

Run the Full OpenGUI Stack

To run the full OpenGUI backend and Android client, let Claude Code or Codex bootstrap it for you.

Read ./skills/open-gui-bootstrap/SKILL.md and help me run OpenGUI. Only ask me for phone-side actions.

You will need:

• an Android phone or emulator
• USB debugging enabled
• AccessibilityService enabled
• model API keys for real task execution

OpenGUI will use the repository scripts to start the backend and install the Android client:

cd server
./start.sh

cd client
./start.sh

After the backend and Android client are running, send a first task:

cd server
pnpm opengui -- devices --json
pnpm opengui -- do "Observe the current Android screen and summarize what you see" --json

The task response includes an executionId. Keep it so you can stop the active task:

pnpm opengui -- cancel <executionId> --json

Manual setup guide: docs/get-started.md.

Recent Updates

• [2026.5.16] Added Codex / Claude Code remote control with a local REST API, pnpm opengui -- ... CLI, and the open-gui-remote-control Skill for dispatching Android app tasks from coding agents.
• [2026.5.9] Added a Discord IM channel for remote Android task dispatch, including prefix commands, slash commands, allowlists, and guild-scoped command registration.
• [2026.5.7] Hardened local startup to avoid common PostgreSQL and Redis port conflicts during Docker-based backend setup.
• [2026.5.1] Improved backend onboarding with .env.example, startup checks, and graph-agent VLM environment configuration.

What You Can Do with OpenGUI

OpenGUI provides an Android GUI agent stack for screen understanding, task planning, action execution, review, and recovery.

You can use the same repository in four practical ways:

• Operate mainstream Android apps: let AI handle mobile tasks inside X, Reddit, Hacker News, Telegram, WeChat, Weibo, Xiaohongshu, and other Android apps on a real phone.

• Run shipped workflows: the repository already includes a runnable backend, Android client, standby dispatch path, and a set of built-in task capabilities.

• Let Claude or Codex bootstrap it for you: point the model at skills/open-gui-bootstrap/SKILL.md, describe the goal in plain language, and let it handle setup, build, install, and local debugging.

• Let Codex control Android apps: after OpenGUI is running, point Codex or Claude Code at skills/open-gui-remote-control/SKILL.md to list devices, dispatch tasks, and track executions through the local CLI.

• Operate phones as remote workers: dispatch tasks through Feishu, Telegram, Discord, or REST API, keep devices on standby, and get structured results back from the backend.

• Join the Discord community

Highlights

• Built for long-running tasks: OpenGUI is shaped for mobile workflows that may run for hours, with progress, review, and recovery kept inside the system.
• Plan before action, summarize after execution: before touching an app, OpenGUI breaks the goal into executable steps; after the run, it returns a structured summary of what happened, what worked, and what still needs attention.
• The task can keep moving: Plan Supervisor maintains task state and continuation, Executor Graph runs screenshot, vision, action, and call-user loops on top of live device state, and Summarizer closes the run with a structured result.
• Phones can stay on standby: the standby dispatch path lets devices receive remote work through Feishu, Telegram, Discord, or REST entry points.
• Models can be assigned by role: model routing separates planning from VLM execution so teams can choose providers by job.
• The system is organized around real mobile workflows: the graph, device execution path, and model split already exist in the source tree.

Why OpenGUI Is Different

OpenGUI is built as a mobile operator system with explicit orchestration layers.

The source code currently exposes these pieces:

• server/apps/backend/src/modules/graph-agent/graph/mobile-agent.graph.ts for the main graph
• server/apps/backend/src/modules/graph-agent/graph/executor.graph.ts for the device-side execution loop
• server/apps/backend/src/common/ws/standby.gateway.ts for standby device dispatch
• client/core_network/.../StandbySocketManager.kt for persistent device standby connections
• client/core_accessibility/.../GestureService.kt for Android-side action execution

Dimension	Typical phone-agent demo	OpenGUI
Execution model	Short interactive loop	Main graph plus executor subgraph
Task state	Usually local and session-bound	Task state managed in the backend graph
Device path	Often laptop-driven control	Android client with standby and execution sockets
Model usage	One model does most of the work	Planning and VLM paths can be split across providers
Remote operation	Optional add-on	Feishu, Telegram, Discord, REST API, and standby dispatch are built into the backend

Typical Use Cases

• Open X and collect recent posts for a topic
• Read and summarize Reddit or Hacker News threads on a live phone
• Trigger Android tasks remotely from Feishu, Telegram, Discord, or REST API
• Execute repetitive mobile workflows on Android devices
• Run long mobile workflows that need state, review, and recovery over many hours

Current Limitations

• Requires an Android device or emulator.
• Requires USB debugging and AccessibilityService permissions.
• Execution quality depends on the model, app UI, network state, and task length.
• Not an always-on OS-level assistant yet; tasks are currently triggered manually or through configured dispatch channels.
• Long-running tasks are supported by the system design, but reliability still needs more real-world testing.
• More ready-to-run task examples and benchmarks are still needed.

Roadmap

• Add a short demo video and more real app examples.
• Improve one-command local setup.
• Add more ready-to-run phone-use task templates.
• Improve execution recovery and failure reporting.
• Add benchmark tasks for Android GUI agent reliability.
• Expand docs for model configuration and cost-saving profiles.
• Launch a hosted OpenGUI Agent service for teams that want GUI operation without running the full stack themselves.

How to Use OpenGUI

1. With Claude or Codex

Start with skills/open-gui-bootstrap/SKILL.md.

The intended flow is simple:

1. point Claude or Codex at the skill
2. describe the task in plain language
3. let the model handle backend bootstrap, APK build, install, and local debugging

It should only stop for:

• connecting a phone or starting an emulator
• approving USB debugging
• enabling AccessibilityService
• granting overlay or battery permissions
• providing API keys or bot credentials

After the backend and Android client are running, use skills/open-gui-remote-control/SKILL.md to let Codex or Claude Code control the phone through the local CLI:

cd server
pnpm opengui -- devices --json
pnpm opengui -- do "Observe the current Android screen and summarize what you see" --json
pnpm opengui -- status <executionId> --json
pnpm opengui -- cancel <executionId> --json

Recommended profiles:

High-performance profile

Use the latest Claude Opus model family across planning, supervision, review, and vision when you want the strongest overall quality.

This is the easiest way to get the best execution quality, and it is the most expensive path.

Cost-saving mixed profile

Use Qwen 3.6 Plus for text-side roles such as Planner and Supervisor, and use Doubao Pro for the VLM side.

This usually preserves the overall system shape while lowering model cost by roughly 10x to 15x compared with an all-Opus setup, depending on task length, screenshot volume, and token mix.

Recommended prompts:

Run it

Read ./skills/open-gui-bootstrap/SKILL.md and help me run OpenGUI. Only ask me for phone-side actions.

Use Claude Opus everywhere

Read ./skills/open-gui-bootstrap/SKILL.md and bootstrap OpenGUI with the latest Claude Opus model family for planning, supervision, review, and vision.

Use Qwen + Doubao to save cost

Read ./skills/open-gui-bootstrap/SKILL.md and set up OpenGUI with Qwen 3.6 Plus for Planner and Supervisor, and Doubao Pro for VLM execution.

Use my own APIs

Read ./skills/open-gui-bootstrap/SKILL.md and use my existing model APIs to get OpenGUI working.

2. Manual setup

Use the repository scripts directly:

cd server
./start.sh

cd client
./start.sh

Reference docs:

• docs/get-started.md
• server/start.sh
• client/start.sh
• server/apps/backend/README.md
• docs/DISCORD.md
• client/README.md

3. Optional Discord remote control

Discord can be enabled as an optional IM channel. A Discord bot receives commands such as !opengui devices or !opengui do ..., then the backend dispatches the task to a standby Android phone and posts progress back to the same channel.

This is not required for local use. If DISCORD_BOT_TOKEN is empty, the backend starts normally and skips Discord.

Full setup guide: docs/DISCORD.md.

The System

flowchart LR
    U["User or IM command"] --> BS["Bootstrap Skill / API / IM entry"]
    BS --> SP["Plan Supervisor"]

    SP --> EX["Executor Graph"]
    EX --> AC["Android Client"]
    AC --> GX["AccessibilityService + screenshots + actions"]
    EX --> RV["Execution review and retry"]
    RV --> SP

    SP --> SM["Summarizer"]
    SM --> SR["Structured Results"]

    RD["Feishu / Telegram / Discord / REST API"] --> ST["Standby Gateway"]
    ST --> AC

    SP --> MR["Model Routing"]
    MR --> MA["Claude / GPT / Gemini / Kimi / MiniMax / compatible"]
    EX --> MR

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Core Runtime Pieces

• Backend graph: server/apps/backend/src/modules/graph-agent/graph/
• Task APIs: server/apps/backend/src/modules/task/task.controller.ts
• Standby dispatch: server/apps/backend/src/common/ws/standby.gateway.ts
• IM channel dispatch: server/apps/backend/src/modules/im-channel/
• Android standby connection: client/core_network/src/main/java/com/coremate/opengui/network/websocket/StandbySocketManager.kt
• Android execution path: client/core_accessibility/src/main/java/com/coremate/opengui/accessibility/GestureService.kt

Documentation

• skills/open-gui-bootstrap/SKILL.md
• docs/get-started.md
• server/apps/backend/README.md
• docs/DISCORD.md
• client/README.md
• CONTRIBUTING.md
• SECURITY.md
• CLAUDE.md

Community / Support

Join the OpenGUI Discord community to discuss GUI agent development, share real use cases, and get release updates. A verified WeChat community entry will be published here when it is ready.

Community members will also be able to apply for trial Agent credits when the hosted OpenGUI Agent service opens. Availability, eligibility, and validity will be announced with the service.

The most useful project feedback is:

• open issues for bugs and feature requests
• share real use cases and deployment feedback
• contribute docs, integrations, and fixes

License

OpenGUI is source-available under the Business Source License 1.1 (BUSL-1.1).

You may copy, modify, distribute, and use the source for non-production purposes. Production use, commercial use, hosted services, and integration into commercial products require a separate commercial license from Core-Mate.

For this version:

• Change Date: 2030-04-29
• Change License: Apache License, Version 2.0

This is public source, but it is not OSI-approved open source until the Change Date.

See LICENSE.