GELab-Zero - StepFun's Open-Source GUI Agent Model

What is GELab-Zero

GELab-Zero is an open-source GUI Agent model developed by StepFun, focused on automated interaction and task execution on mobile devices. It has local deployability, supporting running a 4B model on consumer-grade hardware, ensuring low latency and privacy protection. GELab-Zero provides one-click multi-device deployment, automatically handles environment dependencies and device management, supports distributed task orchestration and multimodal Agent modes, and can flexibly handle complex tasks. In multiple open-source benchmarks, GELab-Zero performs excellently, especially in the AndroidDaily benchmark, where its static test accuracy reaches 73.4%, significantly outperforming other models. It solves the problem of mobile ecosystem fragmentation, provides universal compatibility, requires no adaptation by app developers, and enterprise users can directly reuse this infrastructure to quickly integrate MCP capabilities into product businesses.

Main Features of GELab-Zero

• Locally Deployable: Supports local operation without relying on the cloud, ensuring privacy and low latency.
• Lightweight Inference: Can run on consumer-grade hardware, balancing performance and resource consumption.
• One-Click Multi-Device Deployment: Provides a unified deployment process, automatically handling environment dependencies and device management.
• Distributed Task Orchestration: Supports multi-device task distribution, records interaction traces, facilitating observation and reproduction.
• Multimodal Agent Modes: Supports multiple working modes, including ReAct closed loop, multi-agent collaboration, and scheduled tasks.
• High Performance: Performs excellently in multiple benchmarks, especially leading in accuracy in the AndroidDaily benchmark.
• Solves Fragmentation Issues: Provides universal compatibility, requires no adaptation by app developers, suitable for complex mobile ecosystems.
• Enterprise-Level Application Support: Enterprise users can directly reuse the infrastructure and quickly integrate it into product businesses.
• Open-Source Code and Infrastructure: Provides complete inference infrastructure and pre-trained models, supporting rapid deployment and operation.

Technical Principles of GELab-Zero

• Localized Deployment and Privacy Protection: Adopts local deployment, ensuring data processing is completed locally, avoiding cloud interaction, thereby achieving privacy protection and low-latency response.
• Lightweight Model Design: Optimizes model structure to enable efficient operation on consumer-grade hardware, reducing resource consumption while maintaining high inference speed and performance.
• Plug-and-Play Engineering Infrastructure: Provides complete inference infrastructure, automatically handling complex engineering issues such as multi-device connection, dependency installation, and permission configuration, simplifying the deployment process.
• Multimodal Interaction Capabilities: Supports multiple interaction modes, including ReAct closed loop, multi-agent collaboration, and scheduled task execution, capable of adapting to complex task requirements in different scenarios.
• Dynamic Task Orchestration and Replay: Through distributed task orchestration, distributes tasks to multiple devices for execution and records interaction traces, facilitating task observation and reproduction.
• Reinforcement Learning and Adaptive Inference: Utilizes reinforcement learning mechanisms to enable the Agent to dynamically adjust strategies based on environmental feedback, optimize task execution paths, and improve interaction efficiency.
• General GUI Understanding and Operation: The model has powerful GUI understanding capabilities, can recognize and operate various mobile application interfaces, without requiring additional adaptation by application developers.

GELab-Zero Project Address

• Project Official Website：https://opengelab.github.io/
• Github Repository：https://github.com/stepfun-ai/gelab-zero
• HuggingFace Model Library：https://huggingface.co/stepfun-ai/GELab-Zero-4B-preview

GELab-Zero Application Scenarios

• Automated Task Execution on Mobile Devices: Automatically complete various tasks on mobile devices such as phones, such as application operation, information query, etc.
• Enterprise-level Application Integration: Enterprises can quickly integrate GUI Agent capabilities into business systems to improve automation levels.
• Complex Task Processing: Supports complex tasks with multiple steps and multiple conditions, such as online shopping, information retrieval, etc.
• Home and Personal Life Assistant: Helps users complete daily tasks, such as recommending movies, querying traffic information, etc.
• Education and Learning Assistance: Assists in completing learning tasks in educational applications, such as online course learning, homework submission, etc.
• Life Service Applications: Provides automated services in life service applications, such as food delivery ordering, ride-hailing services, etc.