Showing 3 open source projects for "automation testing"

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    BruteForceAI

    BruteForceAI

    Advanced LLM-powered brute-force tool combining AI intelligence

    BruteForceAI is an open-source security testing tool that applies large language models to the analysis of login forms and authentication flows in web applications. At a high level, the project uses AI to inspect HTML content, identify the relevant form elements, and automate selector discovery so that a tester does not need to hand-map every field before evaluation. It combines that analysis layer with automated credential testing workflows, framing itself as a more adaptive alternative to older brute-force tooling that depends heavily on manual configuration. ...
    Downloads: 270 This Week
    Last Update:
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    Claude Code Skills & Plugins Hub

    Claude Code Skills & Plugins Hub

    270+ Claude Code plugins with 739 agent skills

    ...The repository functions as a marketplace-style collection of hundreds of plugins and specialized skills that enable Claude Code to perform complex development, automation, and operational tasks. These plugins cover a wide range of domains including DevOps automation, security testing, API debugging, infrastructure management, and AI workflow orchestration. The project also includes orchestration patterns and best practices that guide how multiple AI agents or tools can collaborate effectively in software development workflows. ...
    Downloads: 0 This Week
    Last Update:
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    E2B Desktop Sandbox

    E2B Desktop Sandbox

    E2B Desktop Sandbox for LLMs. E2B Sandbox

    ...The platform provides isolated virtual machines where applications can be executed safely without affecting the host system. Each sandbox runs independently and can be configured with custom dependencies or tools required by an AI agent or automation workflow. The system allows developers to programmatically create and control these virtual desktops through SDKs available in languages such as Python and JavaScript. Within a sandbox, developers can launch applications like browsers, editors, or other software that an AI agent may need to interact with. This approach is particularly useful for building AI agents capable of interacting with graphical environments or performing tasks such as browsing, testing software, or automating workflows.
    Downloads: 0 This Week
    Last Update:
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