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: Jun 25, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As seen on GitHub, 'Open-AutoGLM action vocabulary with Evidence-First Integration E2E for the Customer Android route' is a highly discussed topic, with one user saying 'The APK can start a hosted-session flow, run scripted actions against the same physical Android phone, and show final trace evidence.', also on Dev.to, 'Did you want more Claude on Cloud? Let's talk about Securing Agents at Scale' has sparked interest

Pros & Cons

What People Love

Open-source nature of Open-AutoGLM, Dev.to users praise the potential of AI agents in development, GitHub users appreciate the detailed documentation

Common Complaints

Bug reports and compatibility issues, Difficulty with certain phone operations

Biggest Positive: Open Source

Biggest Negative: Bug Reports

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 agent solutions, Open-AutoGLM has a strong open-source community backing