Qube

Qube, published by dagaza, is a fully local, privacy-first AI desktop assistant for Windows that enables voice-to-voice interaction without relying on cloud services. The software integrates speech-to-text, text-to-speech, retrieval-augmented generation, and local large language model inference into a native desktop shell built on PyQt6, allowing users to converse with an AI assistant entirely on their own hardware. This design makes Qube suitable for users who prioritize data privacy, offline functionality, or control over where their information is processed, since no audio or text needs to leave the local machine. Common use cases include hands-free voice assistance, local document querying through retrieval-augmented generation, and general conversational AI tasks in environments where internet connectivity or data sovereignty is a concern. The package described here, currently at version 1.3.51, is the CPU inference build, which is designed to work on virtually any PC regardless of graphics hardware, making it the most broadly compatible option in the Qube lineup. Users with dedicated graphics cards who want faster inference through GPU acceleration can instead choose between two alternative builds distributed via WinGet or GitHub Releases: dagaza.Qube.Vulkan, intended for AMD and Intel GPUs, and dagaza.Qube.CUDA, intended for NVIDIA GPUs. Qube falls within the artificial intelligence and desktop assistant software category, specifically the growing segment of locally executed, hardware-accelerated AI applications. The software has seen active development, with 18 versions published to date, reflecting ongoing updates and refinements to the assistant. By combining a complete voice interaction pipeline with flexible inference options across CPU, Vulkan, and CUDA backends, Qube offers a modular approach to running a private AI assistant on consumer hardware, letting users select the build that best matches their system's capabilities while keeping all processing local.

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