Showing 7 open source projects for "embedded web server"

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  • 1
    WebLLM

    WebLLM

    Bringing large-language models and chat to web browsers

    WebLLM is a modular, customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration. WebLLM offers a minimalist and modular interface to access the chatbot in the browser.
    Downloads: 6 This Week
    Last Update:
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  • 2
    AingDesk

    AingDesk

    AI assistant that supports knowledge bases, model APIs

    ...The system supports additional features such as web search, intelligent agent workflows, and multi-model conversations within a single session. AingDesk can be deployed locally on personal machines or installed as a server using containerized environments. Its design emphasizes accessibility, making it suitable for both beginners and experienced developers who want to experiment with AI tools.
    Downloads: 7 This Week
    Last Update:
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  • 3
    wllama

    wllama

    WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

    wllama is a WebAssembly-based library that enables large language model inference directly inside a web browser. Built as a binding for the llama.cpp inference engine, the project allows developers to run LLM models locally without requiring a server backend or dedicated GPU hardware. The library leverages WebAssembly SIMD capabilities to achieve efficient execution within modern browsers while maintaining compatibility across platforms.
    Downloads: 5 This Week
    Last Update:
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  • 4
    Agent Chat UI

    Agent Chat UI

    Web app for interacting with any LangGraph agent (PY & TS) via a chat

    Agent Chat UI is an open-source web application that provides a graphical interface for interacting with AI agents built using LangGraph and related frameworks. The project is implemented as a modern Next.js application and allows users to chat with agent workflows running on remote or local LangGraph servers. Through a simple configuration process, developers can connect the interface to a deployed agent by specifying the server URL, assistant identifier, and authentication credentials. ...
    Downloads: 1 This Week
    Last Update:
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  • 5
    Farfalle

    Farfalle

    AI search engine - self-host with local or cloud LLMs

    ...It can run either with local language models or with cloud-based providers, allowing developers to deploy it privately or integrate with hosted AI services. The architecture separates the frontend and backend, using modern web technologies such as Next.js and FastAPI to deliver an interactive interface and scalable server logic. Farfalle also includes an agent-based search workflow that plans queries and executes multiple search steps to produce more accurate results than traditional keyword searches. The system supports multiple external search providers and integrates caching and rate-limiting mechanisms to maintain reliability during heavy usage.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Secret Llama

    Secret Llama

    Fully private LLM chatbot that runs entirely with a browser

    Secret Llama is a privacy-first large-language-model chatbot that runs entirely inside your web browser, meaning no server is required and your conversation data never leaves your device. It focuses on open-source model support, letting you load families like Llama and Mistral directly in the client for fully local inference. Because everything happens in-browser, it can work offline once models are cached, which is helpful for air-gapped environments or travel.
    Downloads: 2 This Week
    Last Update:
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  • 7
    AutoGPT.js

    AutoGPT.js

    Auto-GPT on the browser

    AutoGPT.js is an open-source project that brings autonomous AI agent capabilities similar to AutoGPT directly into the browser environment. The system allows users to run an AI agent capable of performing tasks such as generating code, searching the web, and interacting with files on the local computer. Unlike traditional AutoGPT implementations that require server infrastructure, AutoGPT.js is designed to run primarily in the browser, making it easier to deploy and experiment with autonomous agents. The platform uses web APIs and language model integrations to give the agent the ability to plan tasks, execute commands, and store short-term memory during operations. ...
    Downloads: 0 This Week
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