#multi-platform

This versatile chatbot supports multiple AI models and messaging platforms, offering features such as image sending, keyword-triggered responses, and content moderation. It's compatible with platforms like Mirai, go-cqhttp, Telegram, Discord, and WeChat, and provides API services as an HTTP server. With notable support for AI models like ChatGPT, Bing Chat, and ChatGLM-6B, it's designed for diverse user needs including text RPGs and life assistance.

Mozc is an open-source Japanese IME for various platforms like Android, macOS, Linux, and Windows, evolving from Google Japanese Input. Though unofficial, it provides a subset of source code under OSS license. Different versions can be utilized, sharing the BSD 3-Clause License, but lack of official QA may affect stability.

Leverage PairDrop for smooth file sharing across diverse devices with a browser-based interface. Inspired by Apple's AirDrop, it enables file transmission both locally and over the Internet through public rooms and persistent device pairing. Facilitate transfers directly from context menus or the command line interface. Supports Android, iOS, Linux, Windows, enhancing versatility across different networks and devices.

GLFW, an open-source library, facilitates OpenGL, OpenGL ES, and Vulkan application development across Windows, macOS, and Unix-like systems. It offers a simple API to create windows, contexts, and surfaces while managing input and events, supporting both Wayland and X11 on Linux. Latest releases are downloadable with detailed documentation. Its compatibility with multiple compiling environments and community contributions enhance its functionality and reliability. An active forum and GitHub issue tracker provide continued support.

Fastllm is a pure C++ library requiring no third-party dependencies, ensuring high-performance inference across platforms like ARM, X86, and NVIDIA. It supports Hugging Face model quantization and OpenAI API server setups, aiding multi-GPU and CPU deployments with dynamic batching. Featuring a front-end and back-end separation for better device compatibility, it integrates with models such as ChatGLM and LLAMA. Python support also allows custom model structures with extensive documentation for straightforward setup and use.