Showing 5 open source projects for "ai linux"

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    Agent Auth Protocol

    Agent Auth Protocol

    Standard and implementation for AI agent authentication

    Agent Auth Protocol is a specification-oriented project within the Better Auth ecosystem that defines a structured protocol for authentication between applications and autonomous agents. It is designed to standardize how AI agents and services securely authenticate, communicate, and manage identity within modern software systems. Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor...
    Downloads: 0 This Week
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  • 2
    Logto

    Logto

    Authentication and authorization infrastructure for SaaS and AI apps

    Logto is an open-source authentication and authorization platform built for SaaS, AI products, and modern developer teams. It helps teams add secure sign-in, sign-up, user management, organization support, and access control without building identity infrastructure from scratch. The project is based on standards such as OIDC, OAuth 2.1, and SAML, making it suitable for web apps, mobile apps, APIs, machine-to-machine access, and enterprise integrations. It supports multi-tenancy, role-based...
    Downloads: 0 This Week
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  • 3
    CAILogin (Counter AI Login) is an image-based user verification program for web-page logins. It's written in plain C with no special dependencies, and hence it's very suitable for embedded systems which lack "big" interpreted languages, such as PHP.
    Downloads: 0 This Week
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  • 4
    Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
    Downloads: 0 This Week
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 5
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
    Downloads: 0 This Week
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