Open Source PHP Large Language Models (LLM)

PHP Large Language Models (LLM)

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Browse free open source PHP Large Language Models (LLM) and projects below. Use the toggles on the left to filter open source PHP Large Language Models (LLM) by OS, license, language, programming language, and project status.

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  • 1
    InvestBrain

    InvestBrain

    LLM-enabled investment tracker that consolidates market performance

    InvestBrain is a financial portfolio management and investment insight platform designed to help individual investors track assets, analyze performance, and explore data-driven insights across markets. It provides tools to import financial data such as stocks, cryptocurrencies, or ETFs, maintain watchlists, and view performance summaries that highlight gains, losses, allocations, and historical trends. The interface blends real-time or near-real-time market data with personalized analytics, so users can assess portfolio health, diversification, and risk exposure with intuitive charts and tables. Beyond tracking, the platform offers educational insights and indicators (like technical or fundamental signals) that can inform investment decisions and help users recognize patterns or opportunities. Portfolios can be synced across devices, and users can set alerts for threshold events such as price moves or allocation shifts.
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    Neuron AI

    Neuron AI

    The PHP Agentic Framework to build production-ready AI driven apps

    Neuron AI is a PHP agentic framework for building production-ready AI applications that connect models, memory, vector databases, and tools into working agents. It is designed for developers who want to create systems such as RAG pipelines, multi-agent workflows, and business process automations without having to hand-build every integration from scratch. The framework provides an Agent class that can be extended to inherit core capabilities like memory, tools, function calling, and retrieval-augmented generation. Its design is modular, so developers can swap model providers with minimal changes to their application code, which makes it practical for teams that need flexibility across vendors. The project also supports structured output, monitoring, MCP connectivity, and workflow patterns that include human-in-the-loop intervention when automated flows need review or correction.
    Downloads: 2 This Week
    Last Update:
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