Showing 4 open source projects for "devices-mapper"

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    Demo Series - Small Business Backup By Veeam

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  • 1
    OpenJarvis

    OpenJarvis

    Personal AI, On Personal Devices

    OpenJarvis is an open-source framework designed to build personal AI agents that run primarily on local devices rather than relying on cloud infrastructure. Developed as part of the Intelligence Per Watt research initiative, it focuses on improving the efficiency and practicality of on-device AI systems. The framework provides shared primitives for building local-first agents, along with evaluation tools that measure performance using metrics such as energy consumption, latency, cost, and accuracy. ...
    Downloads: 48 This Week
    Last Update:
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  • 2
    AskUI Vision Agent

    AskUI Vision Agent

    Enable AI to control your desktop, mobile and HMI devices

    AskUI’s Vision Agent is an automation framework that allows you—and AI agents—to control real desktops, mobile devices, and HMI systems by perceiving the UI and performing actions like clicking, typing, scrolling, and drag-and-drop. It is designed for multi-platform compatibility and supports multiple AI models so you can tailor perception and decision-making to your workload. The repository presents a feature overview, sample media, and frequent release notes, which show ongoing improvements such as CORS checks and other operational tweaks. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    Omnigent

    Omnigent

    A meta-harness for all your AI agents

    ...It also includes policy controls for approvals, tool access, spending limits, sandboxing, and server-wide governance. Omnigent is useful for teams and power users who want multi-agent supervision, safer execution, and flexible access from different devices.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Android Use

    Android Use

    Automate native Android apps with AI using accessibility APIs

    android-action-kernel is an open source Python library designed to let AI agents control and automate native Android applications running on real devices or emulators. It fills a gap in automation tooling by focusing on mobile-first workflows where traditional browser or desktop-based automation doesn’t work; such as logistics, gig work, field operations, and other industries reliant on phones or tablets. The project works by using Android’s accessibility API to extract structured UI state (as XML) from the device, which is then fed to a large language model (LLM) like OpenAI’s models for decision-making, and actions are executed via the Android Debug Bridge (ADB). ...
    Downloads: 0 This Week
    Last Update:
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