Open AutoGLM — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Open AutoGLM. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Mar 6, 2026 • Sentiment updated: Apr 16, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Open-AutoGLM is wild, as seen on Twitter and Reddit where users share their experiences with the tool

Pros & Cons

What People Love

Local AI capabilities, Ease of use, as praised by Reddit users, Automated tasks, as seen on Twitter

Common Complaints

Limited documentation, Compatibility issues

Biggest Positive: Local AI

Biggest Negative: Limited docs

Why Open AutoGLM Stands Out

Open-AutoGLM stands out from alternative phone automation frameworks due to its unique combination of natural language processing and computer vision capabilities. By leveraging these technologies, Open-AutoGLM can perform complex tasks such as automated testing, data collection, and voice control. The project's focus on phone-based automation also sets it apart from more general-purpose automation frameworks. Additionally, Open-AutoGLM's open-source nature and active community ensure that it is constantly evolving and improving.

Built With

Build an automated phone testing framework — Open-AutoGLM provides a pre-trained model for phone-based tasks, enabling automation of testing procedures, Build a voice-controlled phone assistant — Open-AutoGLM's speech recognition capabilities allow for voice-controlled phone interactions, Build a phone-based data collector — Open-AutoGLM can be used to automate data collection from phones, reducing manual labor, Build a phone automation tool for research — Open-AutoGLM's flexibility and customizability make it an ideal choice for research applications, Build a custom phone agent for specific tasks — Open-AutoGLM's modular architecture enables easy customization and extension

Getting Started

  1. Install Open-AutoGLM using pip: `pip install open-autoglm`
  2. Configure your environment by setting the `PATH` variable to include the Open-AutoGLM installation directory
  3. Download the pre-trained model using the `autoglm-download` command
  4. Configure your phone for automation by enabling developer mode and installing the necessary drivers
  5. Try automating a simple task, such as sending a text message, to verify that Open-AutoGLM is working correctly

About

An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

Official site: https://autoglm.z.ai/blog

Category & Tags

Category: development

Tags: agent, phone-use-agent

Market Context

Competing with other AI-powered phone agents