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RUNLOCALAI · v38
← Home·/apps·Desktop app

GPT4All

Fully offline

Nomic's free desktop AI with model catalog + chat + Python SDK. Long-standing, open-source.

Editorial verdict: “Best fully-open-source desktop AI bundler. Less polished than LM Studio, fully MIT.”

Desktop app
Free
MIT
★ 4.0 / 5
GitHub ★ 70,000
↗ Homepage↗ GitHub↗ 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-cpp
§ 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

GPT4All is the pick for users who want a fully MIT-licensed desktop AI that stays entirely offline, with no telemetry or cloud dependencies. It bridges to llama-cpp and ships a curated catalog of small-to-medium models (Llama 3.1 8B Q4_K_M is a solid fit for 4 GB VRAM). The built-in local-doc-chat works without extra services, and the Python SDK lets you script interactions programmatically. The trade-off: the UI is dated compared to LM Studio or Jan, and the catalog skews toward smaller models, so you won't find 70B-class options here. It's a mature, long-running project best suited for privacy-conscious users or those embedding local inference into their own workflows.

✓ Strengths

  • +Fully open-source
  • +Mature, long-running project
  • +Built-in local-doc-chat works without extra services

△ Caveats

  • −UI feels dated compared to LM Studio and Jan
  • −Catalog focuses on smaller models

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.

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.