This documentation covers Msty App v1.x, the original version of Msty. We’re now actively building and expanding Msty Studio, the next-generation app (v2.0) with a growing set of features and capabilities.

Msty lets you download a wide variety of models to use offline with Local AI. You can choose to install any model from Ollama or import supported gguf model files from HuggingFace, directly within Msty.

Msty supports AMD ROCm on Windows out of the box and we even have a dedicated installer for it. However, sometimes things can go wrong and your GPU card might not be supported or detected at all.

Msty makes it easy to make your Local AI service available on your network. You can enable network access to your Local AI service by following these simple steps:

Msty's Real-Time Data feature allows you to fetch live data from the internet and use it to enrich your chat conversations. You can easily toggle this feature on or off as needed.

Msty supports a wide range of GPUs for faster inference. Check if your GPU is supported by Msty.

RAG (Retrieval Augmented Generation) is the technology that powers Knowledge Stacks in Msty. It's important to understand that RAG doesn't "train" or "teach" the AI new information - instead, it's more …

Looking for Msty Studio? If you're looking for the Msty Studio documentation instead, you can find it here: Go to Msty Studio Docs → Learn more about Msty Studio at Msty.ai → Follow the instructions …

Any model you have in Msty can be used by changing the model names in the config. If you want to use the default settings, make sure to have mistral-small and deepseek-r1:14b are available in Msty and …

The Prompts Library acts as a collection of Quick Prompts that you can use throughout Msty. You can create, edit, and delete prompts as needed. When you need to add a prompt, such as when adding …