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Showing 8 open source projects for "pentesting operating system"

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  • 1
    Operit AI

    Operit AI

    Powerful Android AI agent with tools, automation, and Linux shell

    Operit is a full-featured AI assistant and agent platform designed specifically for Android devices, aiming to go far beyond traditional chat-based interfaces. It integrates deep system-level capabilities with a wide range of tools, allowing the AI to perform real tasks such as file management, automation, and system control directly on the device. A standout aspect of the project is its built-in Ubuntu 24 environment, which enables users to run Linux commands, scripts, and development tools...
    Downloads: 19 This Week
    Last Update:
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  • 2
    Final2x

    Final2x

    2^x Image Super-Resolution

    The tool is available for Windows x64/arm64, MacOS x64/arm64, and Linux x64, allowing users to enjoy the benefits of super-resolution regardless of their operating system.
    Downloads: 22 This Week
    Last Update:
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  • 3
    ChatGPT-Telegram-Workers

    ChatGPT-Telegram-Workers

    Deploy your own Telegram ChatGPT bot on Cloudflare Workers with ease

    The simplest and fastest way to deploy your own ChatGPT Telegram bot. Use Cloudflare Workers, single file, copy and paste directly, no dependencies required, no need to configure local development environment, no domain name required, serverless. You can customize the system initialization information so that your debugged personality never disappears.
    Downloads: 7 This Week
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  • 4
    Amical

    Amical

    Open Source AI Dictation App

    Amical is an open source, AI-powered desktop dictation and note-taking application that enables users to dictate hands-free, transcribe meetings, and capture notes effortlessly with unmatched speed, accuracy, and privacy. It leverages both local and cloud-based AI models, letting users seamlessly switch between providers for the ideal balance of speed, precision, and control, and understands the context of each app in use to automatically format text in a tone and style appropriate to the...
    Downloads: 9 This Week
    Last Update:
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  • 5
    Folo

    Folo

    Folo is the AI Reader

    Folo is an AI-powered RSS reader and information aggregation platform designed to help users follow online content in a single, distraction-free timeline. The project focuses on reducing information overload by automatically organizing feeds and surfacing the most relevant updates based on user preferences. It incorporates AI features that summarize timelines, label entries, and adapt recommendations over time so the reading experience becomes more personalized. Folo is built as a modern...
    Downloads: 6 This Week
    Last Update:
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  • 6
    NOFX

    NOFX

    Open source AI trading OS for autonomous multi-model trading systems

    NOFX is an open source AI-powered trading operating system designed to automate financial trading workflows using autonomous AI agents. It acts as an infrastructure layer that transforms market data into AI-driven trade decisions and execution. Instead of requiring users to manually configure machine learning models, data sources, and API integrations, the system allows AI components to perceive market conditions, select models, and perform trading actions automatically. ...
    Downloads: 5 This Week
    Last Update:
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  • 7
    Eko

    Eko

    Build Production-ready Agentic Workflow with Natural Language

    ...It provides a unified interface for managing agents, offering features such as web resource access and high task complexity handling. Eko is open-source and can be used to execute tasks like browser automation, system operations, and software testing.
    Downloads: 8 This Week
    Last Update:
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  • 8
    SmythOS

    SmythOS

    Cloud-native runtime for agentic AI

    SmythOS SRE (Smyth Runtime Environment) is an open-source runtime and development platform designed for building and operating production-grade AI agents. It provides a foundational infrastructure layer that functions similarly to an operating system for agentic AI systems, managing resources such as language models, storage, vector databases, and caching through a unified interface. Developers can use the runtime to create, deploy, and orchestrate intelligent agents across local machines, cloud environments, or hybrid infrastructures without rewriting their application logic. ...
    Downloads: 0 This Week
    Last Update:
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