6 مستودعات
Specific implementations of multimodal AI capabilities for Android applications.
Distinct from Android Development: Specializes general Android development for the specific needs of voice and multimodal agents using Kotlin.
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Anko is an Android Kotlin library designed to simplify application development through a set of domain-specific languages and extensions. It functions as a programmatic UI DSL, an SQLite wrapper, an SDK utility, and an asynchronous framework. The project provides a declarative layout system that allows developers to build user interfaces through code instead of static XML markup. It distinguishes itself by offering a fluent database layer that eliminates manual cursor management and a concurrency system that uses weak references to prevent memory leaks in activities. The library covers broad
Simplifies common system operations like displaying dialogs, showing toasts, and accessing device resources.
Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag
Provides a Kotlin library to implement voice and multimodal agent capabilities within Android applications.
This repository provides a collection of starter templates, reference projects, and implementation guides for integrating Firebase services into Android applications. It serves as a boilerplate for building mobile apps with built-in cloud backend integration. The project includes examples for connecting Android applications to large language models for generative AI features. It also provides sample code for managing user identity and authentication, as well as demonstrations for integrating cloud databases and serverless functions. The codebase covers a broad range of capabilities, includin
Provides implementation examples for connecting Android applications to large language models for generative AI features.
This is a Backend as a Service SDK for Apple platforms, providing a collection of libraries that connect iOS and macOS applications to cloud databases, authentication services, and serverless infrastructure. It serves as a developer kit for integrating real-time data synchronization, file storage, and push notifications into native apps. The SDK is distinguished by its generative AI integration, which routes text and multimodal prompts between on-device models and cloud-hosted large language models. It further differentiates itself with a specialized app distribution tool for managing pre-rel
Routes text and multimodal prompts between on-device models and cloud-hosted large language models.
lollms-webui هي واجهة مستخدم قائمة على الويب ومنسق نماذج ذكاء اصطناعي محلي مصمم للتفاعل مع وإدارة نماذج اللغة الكبيرة والذكاء الاصطناعي متعدد الوسائط على الأجهزة المحلية. تعمل كجناح وسائط متعددة للذكاء الاصطناعي التوليدي يتيح إنشاء النصوص، والصور، والفيديو، والموسيقى من خلال نماذج الانتشار واللغة المتكاملة. يتميز المشروع بمدير شخصيات مخصص لتكوين ملفات تعريف سلوكية وشخصيات متميزة، والتحكم في أسلوب ونبرة ردود النموذج. يتضمن نظام ذاكرة محلي للحفاظ على سياق المحادثة طويل المدى وسجل الدردشة عبر آلية تخزين دائمة. يغطي النظام قدرات واسعة بما في ذلك توجيه المطالبات الديناميكي لتحسين الاستدلال، وتسريع GPU، ونظام ربط نمطي للربط بموفري النماذج المحليين أو البعيدين. كما يوفر أدوات لتصور عمليات استدلال الذكاء الاصطناعي، وإدارة سجلات الدردشة في قاعدة بيانات محلية، وتوسيع الواجهة عبر نظام أدوات قائم على الإضافات. يتم دعم النشر من خلال صور حاويات لضمان تنفيذ متسق عبر أنظمة تشغيل مختلفة.
Directs prompts to specific models based on task complexity, cost, or speed to optimize performance.
This project is a full-stack development framework designed for building cross-platform mobile applications that integrate generative language and image models. It provides a pre-configured boilerplate and a collection of tools to accelerate the creation of intelligent software, including support for interactive chat interfaces and visual content generation. The framework distinguishes itself by incorporating a server-side proxy layer that centralizes authentication and authorization, ensuring secure communication when interacting with external AI services. It also features a modular styling
Builds cross-platform mobile applications that integrate large language models and image generation services.