Msty

Msty is a modern desktop application for interacting with large language models that emphasizes clean design and ease of use. It supports both local model inference and connections to remote AI providers, offering a polished unified interface for managing multiple AI conversations. For users who want a visually refined local AI chat experience with the ability to compare models side by side, Msty provides one of the most well-designed desktop interfaces available.

Key Features

Split-screen chat comparison. Msty’s signature feature lets you send the same prompt to two different models simultaneously and view their responses side by side. This is invaluable for evaluating model quality, comparing local versus cloud models, or testing different parameter configurations on identical inputs.

Clean, modern interface. The UI prioritizes readability and organization with a design aesthetic closer to commercial chat products than typical open-source tools. Conversations are organized into folders, searchable, and exportable. Markdown rendering, code highlighting, and image display are polished and responsive.

Multi-provider support. Msty connects to local backends including Ollama and llama.cpp, as well as remote providers like OpenAI, Anthropic, Google, and others. You can mix local and cloud models within the same workspace, switching between them as needed.

Offline functionality. When connected to local inference backends, Msty works entirely offline. Conversations with local models require no internet connection, and all data stays on your machine.

Prompt library and templates. Built-in prompt management lets you save, organize, and reuse prompt templates. Custom system prompts can be assigned per conversation or per model, streamlining repetitive workflows.

When to Use Msty

Choose Msty when you prioritize a polished user experience and want to compare outputs across multiple models or providers. It suits users who appreciate good design, work with both local and cloud AI services, and want a unified interface that does not sacrifice aesthetics for functionality.

Ecosystem Role

Msty occupies the design-forward end of the desktop AI client spectrum. It relies on external backends like Ollama for local inference rather than bundling its own engine. Compared to LM Studio, it offers stronger multi-provider integration and model comparison features. For open-source purists, Jan provides a similar experience with fully open code.