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zai-org/AutoGLM-Phone-9B
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Official template
vllm/vllm-openai:v0.12.0
Updated time: 19 Jan 2026
README
Configuration

Run AutoGLM on Novita

What is AutoGLM

Phone Agent is a mobile intelligent assistant framework built on AutoGLM. It can understand phone screen content in a multimodal way and help users complete tasks through automated operations. The system controls devices through ADB ( Android Debug Bridge), uses vision-language models for screen perception, and combines intelligent planning capabilities to generate and execute operation workflows. Users only need to describe their requirements in natural language, such as "Open Xiaohongshu and search for food", and Phone Agent will automatically parse the intent, understand the current interface, plan the next action, and complete the entire workflow. The system also has a built-in sensitive operation confirmation mechanism and supports manual takeover in login or verification code scenarios. Additionally, it provides remote ADB debugging capabilities, allowing device connection via WiFi or network for flexible remote control and development.

You can check the details on the official website of the project.

Run AutoGLM on Novita

Step 1: Console Entry
Launch the GPU interface and select Get Started to access deployment management.
图片 Step 2: Package Selection
Locate MinerU in the template repository and begin installation sequence.
图片 Step 3: Infrastructure Setup
Configure computing parameters including memory allocation, storage requirements, and network settings. Select Deploy to implement.
图片 Step 4: Review and Create
Double-check your configuration details and cost summary. When satisfied, click Deploy to start the creation process.
图片 Step 5: Wait for Creation
After initiating deployment, the system will automatically redirect you to the instance management page. Your instance will be created in the background.
图片 Step 6: Monitor Download Progress
Track the image download progress in real-time. Your instance status will change from Pulling to Running once deployment is complete. You can view detailed progress by clicking the arrow icon next to your instance name. 图片 Step 7: Verify Instance Status
Click the Logs button to view instance logs and confirm that the InvokeAI service has started properly.
图片

How to get started

Step 1 Download the project to your local machine.

1git clone https://github.com/zai-org/Open-AutoGLM.git

Step 2

1Switch to the Open-AutoGLM directory and download the relevant dependencies 2pip install -r requirements.txt 3pip install -e .

Step 3 Configure ADB and related dependencies by referring to the official documentation.

Step 4 Run AutoGLM Note: Replace http://localhost:8000/v1 in the following text with your actual access address

1python main.py --base-url http://localhost:8000/v1 "打开抖音,下滑一下"

图片