Showing 4 open source projects for "php local server"

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  • 1
    Bonsai 27B

    Bonsai 27B

    Run Bonsai (1-bit) and Ternary-Bonsai language models locally

    ...They also provide OpenAI-compatible tool calling and optional MCP server integration for agentic workflows. Automated setup scripts install dependencies, download models, obtain binaries, and configure interactive interfaces. Users can access the models through command-line prompts, a local chat server, or Open WebUI.
    Downloads: 66 This Week
    Last Update:
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  • 2
    gemini-web2api

    gemini-web2api

    Convert Google Gemini web into OpenAI-compatible API

    ...It is designed to let OpenAI-style clients connect to Gemini-like models through routes such as chat completions, models, responses, and native Gemini-compatible endpoints. The project can run as a simple local server and uses a mostly single-file design with an optional dependency for streaming. It supports model aliases for Flash, Thinking, Pro-style routing, Auto, and Lite variants. The tool also includes optional API keys, function calling, SSE streaming, web search access, Docker deployment, and client examples for OpenAI SDK-style usage. ...
    Downloads: 11 This Week
    Last Update:
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  • 3
    LLM_Server_Controller

    LLM_Server_Controller

    GUI shell for running local LLM on desktop

    GUI shell for running local LLM on desktop Latest release v0.1.8
    Downloads: 4 This Week
    Last Update:
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  • 4
    ChatGPT Retrieval Plugin

    ChatGPT Retrieval Plugin

    The ChatGPT Retrieval Plugin lets you easily find personal documents

    ...It can serve as a custom GPT plugin or function-calling backend so that a chat session can “look up” relevant documents based on user queries, inject those results into context, and respond more knowledgeably about a private knowledge base. The repo provides code for ingestion pipelines (embedding documents), APIs for querying, local server components, and privacy / PII detection modules. It also contains plugin manifest files (OpenAPI spec, plugin JSON) so that the retrieval backend can be registered in a plugin ecosystem. Because retrieval is often needed to make LLMs “know what’s in your docs” without leaking everything, this plugin aims to be a secure, flexible building block for retrieval-augmented generation (RAG) systems.
    Downloads: 0 This Week
    Last Update:
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