[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
$ npx skills add showlab/ShowUIAlternatives
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An open-sourced end-to-end VLM-based GUI Agent
[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
$ npx skills add showlab/ShowUIFara-7B: An Efficient Agentic Model for Computer Use
$ npx skills add microsoft/faraAI computer use powered by open source LLMs and E2B Desktop Sandbox
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$ npx skills add CelestoAI/SmolVMOpen-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
$ npx skills add trycua/cuaUFO³: Weaving the Digital Agent Galaxy
$ npx skills add microsoft/UFOA curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
$ npx skills add trycua/acuAutonomous self-evolving agents. Vision-grounded layered memory and self-written skills for LLM agents that operate your computer.
$ npx skills add jmerelnyc/Photo-agentsWindows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.
$ npx skills add microsoft/WindowsAgentArenaA fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.
$ npx skills add deedy/mac_computer_useOpen Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
$ npx skills add OpenAdaptAI/OpenAdapt利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
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$ npx skills add FujiwaraChoki/MoneyPrinterV2Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
$ npx skills add microsoft/RD-AgentRobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar
$ npx skills add go-vgo/robotgoAI-powered, vision-driven UI automation for every platform.
$ npx skills add web-infra-dev/midsceneHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep CogAgent if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.