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RUNLOCALAI · v38
← Home·/apps·Desktop app

Msty

Hybrid (offline or cloud)

Desktop app focused on side-by-side multi-model chat. Compare local vs cloud answers in one view.

Editorial verdict: “Best 'compare local vs cloud answers' workflow. Niche but well-designed.”

Desktop app
Free tier
Proprietary
★ 4.3 / 5
↗ Homepage

Compatibility at a glance

Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"

§ Runtimes supported
ollamaopenai-compatanthropicopenaigemini
§ OS / platform
macoslinuxwindows
§ Hardware + model hint
Minimum VRAM
4 GB
Recommended starter model
Llama 3.1 8B Q4_K_M
→ Build the rest of the stack with /stack-builder→ Pick a GPU for this app

What it is

Msty is for anyone who regularly asks the same question to a local model and a cloud API, then compares outputs side by side. It bridges Ollama and OpenAI-compatible runtimes with Anthropic, OpenAI, and Gemini endpoints in a single chat window. You can run a 8B Q4_K_M model locally while a cloud model answers the same prompt in the adjacent panel. The UI is polished and the multi-model comparison view is genuinely unique. The catch: Msty is closed-source, and some advanced features require a paid plan. If you're evaluating whether a local model is good enough for your use case, this is the tool.

✓ Strengths

  • +Multi-model side-by-side UX is unique in the space
  • +Local + cloud in one chat
  • +Polished UI

△ Caveats

  • −Closed-source
  • −Some advanced features paid

About the Desktop app category

Bundled desktop app with built-in model management.

§ Other desktop app apps
LM Studio

Best 'first install' desktop app for newcomers. Closed-source but the easiest first-run experience.

GPT4All

Best fully-open-source desktop AI bundler. Less polished than LM Studio, fully MIT.

Where to go from here

Stack Builder →

Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.

Back to /apps →

The full directory — filter by category, runtime, OS, privacy posture, or VRAM.

Runtimes (/tools) →

What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.

Community benchmarks →

Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.