RUNLOCALAIv38
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SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
← Home·/apps·Desktop app

LM Studio

Fully offline

Desktop app that bundles model download + chat + OpenAI-compatible local server. Closed-source but free.

Editorial verdict: “Best 'first install' desktop app for newcomers. Closed-source but the easiest first-run experience.”

Desktop app
Free tier
Proprietary
★ 4.5 / 5
↗ Homepage↗ Docs

Compatibility at a glance

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

§ Runtimes supported
llama-cppmlx
§ 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

LM Studio is a desktop app for macOS / Windows / Linux that bundles three things: model catalog with one-click download, chat UI, and OpenAI-compatible local API server. Targets the 'I want to try local AI without learning Docker or Python' user. Closed-source but free for personal + commercial use up to limits.

✓ Strengths

  • +Best first-run experience in the space
  • +Excellent MLX backend on Apple Silicon
  • +OpenAI-compatible server is one click

△ Caveats

  • −Closed-source — you trust the developer's privacy claims
  • −Commercial license has tiers — read the terms before deploying

About the Desktop app category

Bundled desktop app with built-in model management.

§ Other desktop app apps
GPT4All

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

Msty

Best 'compare local vs cloud answers' workflow. Niche but well-designed.

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.