Showing 4 open source projects for "aras-common"

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    OpenHuman

    OpenHuman

    Your Personal AI super intelligence. Private, simple and powerful

    ...It focuses on a private, desktop-first experience with a friendly interface, onboarding flows, and a persistent assistant that can remember context over time. The project connects to common productivity tools, gathers fresh information from integrations, and organizes user knowledge into a local memory system. It also includes practical agent tools such as web search, web fetching, file access, coding utilities, voice input, text-to-speech, and model routing. Its goal is to make an AI assistant feel continuously useful across meetings, messages, documents, tasks, and personal workflows. ...
    Downloads: 171 This Week
    Last Update:
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  • 2
    Kheish

    Kheish

    Kheish: A multi-role LLM agent for tasks like code auditing

    Kheish is a framework designed for cybersecurity professionals to automate penetration testing tasks, providing tools to streamline security assessments.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Google Workspace CLI

    Google Workspace CLI

    Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.

    Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Crabtalk

    Crabtalk

    Agents daemon that hides nothing

    ...CrabTalk emphasizes simplicity by avoiding unnecessary abstractions, allowing developers to maintain full control over how agents operate and interact with their environment. One of its key design goals is to address common issues in multi-agent systems, such as context fragmentation and coordination inefficiencies, by providing clearer structure and tighter control over execution.
    Downloads: 0 This Week
    Last Update:
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