Browse free open source PHP AI Agents and projects below. Use the toggles on the left to filter open source PHP AI Agents by OS, license, language, programming language, and project status.

  • Powerful Website Security | Continuous Web Threat Platform Icon
    Powerful Website Security | Continuous Web Threat Platform

    Continuously detect, prioritize, and validate web threats to quickly mitigate security, privacy, and compliance risks.

    Reflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.
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  • Apify is a full-stack web scraping and automation platform helping anyone get value from the web. Icon
    Apify is a full-stack web scraping and automation platform helping anyone get value from the web.

    Get web data. Build automations.

    Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
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    opc-methodology

    opc-methodology

    The second edition of "One-person Enterprise Methodology"

    opc-methodology is a structured framework for designing, organizing, and executing AI-driven workflows using prompt-based systems. It focuses on breaking down complex AI tasks into clear stages that improve reliability, reproducibility, and clarity when working with language models. The methodology emphasizes defining objectives, processes, and constraints explicitly, ensuring that AI outputs are guided by structured reasoning rather than vague prompts. It is particularly useful for building consistent workflows in areas such as content generation, automation, and decision support. The framework promotes modular thinking, allowing users to reuse and refine components across different tasks. It also encourages iterative refinement, helping users improve prompt performance through systematic adjustments. Overall, OPC Methodology provides a practical approach to prompt engineering that prioritizes clarity, structure, and repeatability.
    Downloads: 0 This Week
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