langflow-ai/langflow
Langflow is a powerful open-source platform for building, testing, and deploying AI-powered agents and workflows with visual authoring, multi-agent orchestration, and API integration capabilities.
Awesome AI Agents › AI Workflow Orchestrators
stepfun-ai/gelab-zero
GELab-Zero is an advanced open-source GUI agent solution developed by the StepFun-GELab team, designed to facilitate seamless interaction with graphical user interfaces across multiple devices. It offers a comprehensive full-stack infrastructure that addresses the fragmentation challenges of mobile ecosystems by providing a unified, one-click inference pipeline. This pipeline automates multi-device ADB connections, manages dependencies, and handles permissions, allowing developers to focus on innovation rather than infrastructure complexities. The project emphasizes privacy and local deployment, featuring a built-in 4B GUI agent model optimized for consumer-grade hardware such as Mac M-series chips and NVIDIA RTX 4060 GPUs. This ensures that all operations can be executed locally without cloud dependencies, providing users with complete control over their data and minimizing latency. GELab-Zero supports flexible task distribution and orchestration across multiple devices, enabling complex real-world business scenarios to be managed efficiently. It offers three operational modes: ReAct loops, multi-agent collaboration, and scheduled tasks, which enhance its versatility in handling diverse automation workflows. The project is designed to accelerate the transition from prototype to production by enabling rapid validation of interaction strategies and offering zero-cost integration with multi-device control platforms (MCP). This makes it suitable for both developers and enterprises aiming to deploy large-scale GUI automation solutions. GELab-Zero includes various application demonstrations such as movie recommendations, travel destination suggestions, enterprise welfare platform interactions, metro line queries, multi-item shopping, and information retrieval tasks. These demos showcase its capability to perform complex, multi-step interactions with GUIs effectively. The project is supported by extensive documentation, a technical report published on arXiv, and a community for communication via WeChat. It also provides access to related datasets and models on platforms like Hugging Face and Model Scope, further supporting research and development in GUI automation and AI agent technologies.
https://github.com/stepfun-ai/gelab-zero
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