Showing 6 open source projects for "chat application"

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  • 1
    Enchanted

    Enchanted

    Enchanted is iOS and macOS app for chatting with language models

    Enchanted is an open-source, cross-platform application built to let users chat with privately hosted large language models from Apple devices, including macOS, iOS, and visionOS. Designed to work seamlessly with servers like Ollama, it provides a privacy-focused alternative to traditional cloud AI UIs by connecting directly to your own LLM endpoints such as Llama, Mistral, Vicuna, and more.
    Downloads: 11 This Week
    Last Update:
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  • 2
    Nativ

    Nativ

    Chat, serve, monitor, and connect MLX models from one macOS app

    Nativ is a native macOS workspace for running AI models locally on Apple silicon. It combines private chat, model management, image generation, voice tools, monitoring, and local inference serving in one SwiftUI application. The app discovers compatible MLX models in the Hugging Face cache and can download additional models with memory-fit warnings. Conversations support streaming responses, images, reasoning output, persistent history, and performance metrics.
    Downloads: 5 This Week
    Last Update:
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  • 3
    fullmoon

    fullmoon

    Chat with private and local large language models

    Fullmoon is a free, open-source application that enables users to interact with large language models directly on their devices, ensuring privacy and offline accessibility. Optimized for Apple silicon, it operates seamlessly across iOS, iPadOS, macOS, and visionOS platforms. Users can personalize the app by adjusting themes, fonts, and system prompts, and it integrates with Apple's Shortcuts for enhanced functionality. Fullmoon supports models like Llama-3.2-1B-Instruct-4bit and...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Ollamac

    Ollamac

    Mac app for Ollama

    Ollamac is an open-source native macOS application that provides a graphical interface for interacting with local large language models running through the Ollama inference framework. The project was created to simplify the process of using local AI models, which typically require command-line interaction, by offering a clean and intuitive desktop interface. Through this interface, users can run and chat with a variety of LLM models installed through Ollama directly on their own machines. ...
    Downloads: 7 This Week
    Last Update:
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  • 5
    Lumo iPhone App

    Lumo iPhone App

    iOS application for Lumo

    Lumo iPhone App is the native iPhone and iPad client for Lumo, Proton’s privacy-centric AI assistant that allows users to ask questions, get summaries, generate content, and leverage AI help while keeping all conversations confidential and encrypted. Built with SwiftUI, the iOS app wraps a secure web-powered interface and communicates with the Lumo service in a way that ensures zero-access encryption, meaning even Proton cannot read or log user chats—only the device holder can decrypt them....
    Downloads: 0 This Week
    Last Update:
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  • 6
    TurboFieldfare

    TurboFieldfare

    Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

    TurboFieldfare is a custom Swift and Metal runtime for running the instruction-tuned Gemma 4 26B-A4B model on Apple Silicon Macs with limited memory. Instead of loading the entire model, it keeps the shared core and KV cache in RAM while streaming only the routed experts required for each token from SSD. This approach reduces active memory use to roughly 2 GB while the installed model occupies about 14.3 GB of storage. The project includes a native Mac application, command-line tools, a...
    Downloads: 4 This Week
    Last Update:
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