Rio Terminal

WebLLM is a high-performance, in-browser language model inference engine that leverages WebGPU for hardware acceleration, enabling powerful LLM operations directly within web browsers without server-side processing. It offers full OpenAI API compatibility, allowing seamless integration with functionalities such as JSON mode, function-calling, and streaming. WebLLM natively supports a range of models, including Llama, Phi, Gemma, RedPajama, Mistral, and Qwen, making it versatile for various AI tasks. Users can easily integrate and deploy custom models in MLC format, adapting WebLLM to specific needs and scenarios. The platform facilitates plug-and-play integration through package managers like NPM and Yarn, or directly via CDN, complemented by comprehensive examples and a modular design for connecting with UI components. It supports streaming chat completions for real-time output generation, enhancing interactive applications like chatbots and virtual assistants.

Zellij is a workspace aimed at developers, ops-oriented people, and terminal enthusiasts, designed around the philosophy that one must not sacrifice simplicity for power, delivering a great out-of-the-box experience together with advanced features. Geared toward both beginners and power users, it offers deep customizability and personal automation through layouts, true multiplayer collaboration, unique UX elements such as floating and stacked panes, and an innovative resizing algorithm that automatically places new panes in the optimal location. A plugin system enables creation of custom pane types in any language compiling to WebAssembly, while a comprehensive CLI introduces Command Panes for running and rerunning commands in dedicated panes and provides actions like run, edit, and rename-pane. Zellij’s single-process core ensures responsive performance, and its batteries-included approach gives users a terminal workspace with everything needed for modern development workflows.