Msty
Desktop app for local and cloud LLMs with split-chat comparison and offline mode.
About
Msty is a desktop application for running large language models locally and through cloud providers from one interface. It supports Ollama, llama.cpp, and MLX for local inference, alongside major hosted providers, and includes a split-chat view for comparing answers from multiple models side by side.
It also ships Knowledge Stacks for retrieval over your own documents, an MCP Toolbox for wiring in external tools, and a fully offline mode that keeps everything on your machine. The app is proprietary and freemium; power users get RAG, MCP, and local-model management without assembling a backend and frontend themselves.
What it can do
- Local inference via Ollama, llama.cpp, and MLX
- Split-chat comparison across models
- Knowledge Stacks RAG over local documents
- MCP Toolbox for external tool integrations
- Fully offline mode
Setup
Download the Msty app for your OS and sign up; connect local runtimes like Ollama or add provider API keys.
Prerequisites
A desktop OS and either a local model runtime or API keys for cloud providers.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 86; Trending score 66/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.