Open-AutoGLM-Hybrid  by xietao778899-rgb

AI automation on mobile, no PC required

Created 10 months ago
847 stars

Top 42.2% on SourcePulse

GitHubView on GitHub
Project Summary

Open-AutoGLM Hybrid enables AI automation directly on Android phones, eliminating PC dependency. It targets users seeking true mobile AI capabilities, offering convenience and accessibility for tasks like app control, with a high success rate and simplified deployment.

How It Works

This hybrid solution runs Open-AutoGLM on Android via Termux, integrating GRS AI for visual understanding and task planning. Operations are managed by the AutoGLM Helper app, using either a recommended Accessibility Service (90-98% success, stable) or a fallback LADB mode (85-95% success, less stable). Smart downgrade logic automatically selects the optimal mode for robust mobile AI task execution.

Quick Start & Requirements

  • Primary Install: Install Termux (from F-Droid) and the AutoGLM Helper APK. Grant Accessibility permissions. Execute the deploy.sh script within Termux.
  • Prerequisites: Android 7.0+ (11+ recommended), 2GB+ RAM (4GB+ recommended), 500MB storage, GRS AI API Key.
  • Estimated Setup: ~30 minutes.
  • Links: Discord community available. Internal documentation links present.

Highlighted Details

  • Achieves 95-99% task success rate with 3-5 second average response time.
  • Offers superior portability and "anytime, anywhere" usage compared to PC solutions.
  • Hybrid model surpasses pure LADB in stability (5/5 stars) and offers auto-recovery.
  • Core tech: Kotlin (Android), Python 3.11/Bash (Termux), AccessibilityService, NanoHTTPD.

Maintenance & Community

Active development includes planned features like voice input and a Web UI (v1.1.0), progressing towards cloud sync and a task marketplace (v2.0.0). Community contributions are welcomed via GitHub. A Discord server is available.

Licensing & Compatibility

Licensed under the permissive MIT License, allowing broad use, modification, and distribution, including commercial applications and closed-source linking.

Limitations & Caveats

The LADB fallback mode has lower success rates (85-95%) and stability. Setup requires manual installation of Termux/APK, permission granting, and an external GRS AI API Key. The deployment script download URL is missing from the README.

Health Check
Last Commit

10 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
1 stars in the last 30 days

Explore Similar Projects

Feedback? Help us improve.