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Xybrid: Cross-platform on-device AI toolkit. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Xybrid. This is an automatic list. We have not written a researched verdict for Xybrid yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Bonsai Demo
Bonsai is the family of compressed language models from PrismML, and the demo is the hosted way to try them before downloading. PrismML builds what it calls ultra dense intelligence: models quantized to ternary or one bit weights so that capable reasoning fits on phones, laptops and edge hardware instead of a datacente...
On-device AI SDKs for iOS, macOS, Android, and the web.
Desert Ant Labs is an on device AI lab that builds small, specialised models, each designed to do one job well, and ships them through a single native SDK that adds them to an app in a few lines of code. Because the models run on the phone or computer the end user already owns, there is no cloud bill and no per call or...
Native iPhone app for your Hermes agent
Hermex is a native iPhone and iPad client for a self hosted Hermes agent. The agent keeps running on your own server, and the app lets you steer it from your phone: stream responses as they arrive, answer approval requests, manage tasks and Kanban boards, browse the agent's workspace and receive notifications when the ...
IRIS is an android app for interfacing with GGUF / llama.cpp models locally.
Iris App, also presented as Iris Offline GPT, is an Android AI chat application from Nervesparks that runs language models entirely on the device with no internet connection. The listing points at the Nervesparks company home page, and the product itself is described on its own page under the company's Products menu, w...
JANG — GGUF for MLX. YOU MUST USE JANG_Q RUNTIME.
JANG is an open source quantization method for running larger AI models on Apple Silicon Macs. It is built around the MLX framework and shrinks model files so that bigger, more capable models fit in the memory of a laptop or desktop Mac while keeping output quality higher than uniform quantization at the same size. St...
Easy, advanced inference platform for large language models on Kubernetes.
llmaz is an open source inference platform for running large language models on Kubernetes. It aims to let a team stand up a model serving endpoint with minimal configuration, handling model loading, scaling and routing inside an existing cluster. The project documents a broad set of capabilities. It supports several ...