ZJU-REAL/ClawGUI

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1338 stars · 54 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ClawGUI is a unified Python framework for GUI agents covering the full lifecycle: online reinforcement learning training (ClawGUI-RL with GiGPO), standardized benchmark evaluation (ClawGUI-Eval), and real-device deployment (ClawGUI-Agent). It ships a 2B model trained end-to-end with the pipeline that outperforms baselines on MobileWorld.

Use cases

• train a GUI agent with online reinforcement learning
• benchmark and evaluate mobile GUI agents on standardized tasks
• deploy an AI agent that controls a real phone via natural language
• build an end-to-end pipeline for training, evaluating, and deploying screen agents
• run a self-evolving skills agent on device
• compare GUI agent models on mobile world benchmarks

When to choose

• you need a full-stack research framework covering RL training, evaluation, and deployment of GUI agents
• you want to train mobile/screen agents with online RL rather than only SFT
• you need to deploy agents on real Android devices
• you want a reproducible benchmark setup for GUI agent research

When to avoid

• you only need a simple web automation bot without model training
• you need a production-ready no-code RPA tool
• you lack GPU resources for RL training of vision-language models
• you target desktop-only GUI automation with no mobile focus

Facets

framework · maturity active

agent-framework machine-learning reinforcement-learning llm-training benchmarking computer-vision artificial-intelligence reinforcement-learning machine-learning mobile-development python gui-agents online-rl gigpo mobile-agent device-control agent-evaluation research-framework ai-agents android linux gpu

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markdown · JSON · MCP: product_card(name="ZJU-REAL/ClawGUI")