Showing 3 open source projects for "memory usage"

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  • 1
    Cactus

    Cactus

    Low-latency AI inference engine optimized for mobile devices

    ...It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing large models to run within the constraints of mobile hardware. It supports a wide range of AI tasks including text generation, speech-to-text, vision processing, and retrieval-augmented workflows through a unified API interface. A notable feature of Cactus is its hybrid execution model, which can dynamically route tasks between on-device processing and cloud services when additional compute is required.
    Downloads: 0 This Week
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  • 2
    Dayflow

    Dayflow

    Automatic AI-powered timeline of your daily work activity logs

    ...It continuously captures lightweight snapshots of the screen and processes them at intervals using AI to produce contextual summaries of what the user was actually doing. Unlike traditional time trackers that only log application usage, it focuses on understanding the intent behind activities, distinguishing productive work from distractions. It is built as a native SwiftUI application and emphasizes efficiency, using minimal CPU and memory while running in the background. A strong focus is placed on privacy, as all captured data remains local by default and users can choose their preferred AI provider, including local models or external services. ...
    Downloads: 0 This Week
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  • 3
    ClawBridge

    ClawBridge

    The OpenClaw Mobile Dashboard.

    The OpenClaw Mobile Dashboard. Monitor agent's real-time thoughts, actions, track token costs, and manage tasks from anywhere using your pocket-sized Mission Control.
    Downloads: 0 This Week
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