Msty (Msty Studio), built by CloudStack, LLC, is a proprietary, privacy-first desktop app that aims to be the most polished way to run local LLMs without any setup hassle. Its built-in local engine (MLX and llama.cpp) means you can run models offline with one click — no separate Ollama or LM Studio install — while 12+ cloud providers can be connected in the same interface, with the ability to switch models mid-conversation. As of mid-2026 the core product is free (it went fully free in July 2025), requires no account, and stores data locally with no telemetry.
Msty's personality shows in features like split/parallel chats ("Crew Mode") for comparing models side by side, Knowledge Stacks for document-grounded RAG, a prompt library, and MCP tool support. The trade-offs are openness and cost: the app is closed source and can't be self-hosted, and a number of advanced capabilities — plus the web app — live behind the Aurum tier ($149/user/year), with a Teams plan that has a five-seat minimum. For users who value polish and a zero-config experience over auditability, it's a strong pick.
Key Benefits
- Zero-config local AI: A built-in engine runs models offline with a single click.
- Local and cloud in one place: Mix on-device models with hosted providers and switch freely.
- Thoughtful UX: Split chats, knowledge stacks and a prompt library go beyond a basic chat window.
- Private by default: Local-first storage, no telemetry, and no account needed for the free tier.
Use Cases
- Effortless local chat — Run an offline model without touching a terminal or installing a separate runtime.
- Model comparison — Use split chats to evaluate several models on the same prompt.
- Document-grounded answers — Build Knowledge Stacks for RAG over your files.
- Hybrid workflows — Keep sensitive prompts local and reach for a cloud model when you need more power.