Showing 4 open source projects for "chat responsive"

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  • 1
    macai

    macai

    All-in-one native macOS AI chat application

    macai is a native macOS AI chat application that consolidates access to multiple AI providers into a single, polished desktop interface. It is built specifically for macOS using Swift and SwiftUI, delivering a lightweight and responsive experience that integrates seamlessly with the operating system. The app supports a wide range of providers, including OpenAI, Anthropic, Google Gemini, xAI, Perplexity, and Ollama, allowing users to switch between local and cloud-based models without changing tools. ...
    Downloads: 0 This Week
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  • 2
    RealtimeTTS

    RealtimeTTS

    Converts text to speech in realtime

    ...It supports both internet-based engines and fully local engines, which lets you choose between privacy, cost, and quality trade-offs. RealtimeTTS also includes robustness features such as automatic fallbacks when a backend fails, so production systems can stay responsive even if one TTS provider is temporarily unavailable.
    Downloads: 2 This Week
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  • 3
    CodinIT.dev

    CodinIT.dev

    Free, local, open-source AI app builder

    CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5, Claude Sonnet 4.5) or local via Ollama, so you’re never locked in. ...
    Downloads: 3 This Week
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  • 4
    simpleaichat

    simpleaichat

    Python package for easily interfacing with chat apps

    simpleaichat is a Python library that streamlines building conversational apps with large language models by offering a minimal, developer-friendly interface. It aims to abstract the boilerplate of prompt management, message history, and streaming while leaving core Python control in your hands. The package emphasizes simplicity over heavy frameworks, making it ideal for scripts, notebooks, and small services that need LLMs without architectural lock-in. It supports structured responses and...
    Downloads: 1 This Week
    Last Update:
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