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what is canirunai fr?

ugochi56/canirunai — explained in plain English

Analysis updated 2026-05-18

0HTMLAudience · generalComplexity · 2/5LicenseSetup · easy

tl;dr

A local web app that scans your computer's hardware and tells you which of over sixty AI models it can actually run.

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mindmap
  root((CanIRunAI))
    What it does
      Scans your hardware
      Rates 60+ AI models
      Can run tight fit too heavy
    Tech stack
      Node.js and Express
      Ollama integration
      Vanilla HTML frontend
    Use cases
      Check before downloading models
      Pull Ollama models directly
      Find CPU only models
    Audience
      Local AI hobbyists
      General users
    Setup
      npm install
      npm run dev
      Open localhost in browser

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what do people make with this?

VIBE 1

Check which local LLMs, image generators, or video generators your PC or Mac can run before downloading them.

VIBE 2

Pull a compatible Ollama model directly from the app once you know it fits your hardware.

VIBE 3

Find CPU-only AI models that work without a dedicated graphics card.

VIBE 4

Compare compatibility across chat, code, vision, image, and video model categories.

what's the stack?

Node.jsExpressOllamaHTML

how it stacks up fr

ugochi56/canirunai100/rutgers-pbl-dining-2015a15n/a15n_old
Stars0
LanguageHTMLHTMLHTML
Last pushed2015-12-012016-06-18
MaintenanceDormantDormant
Setup difficultyeasyeasyeasy
Complexity2/51/51/5
Audiencegeneralgeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min

Requires Node.js 18+, Ollama is optional and only needed if you want to pull models from within the app.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

in plain english

CanIRunAI is a small local web app that answers a simple question: which AI models can your own computer actually run. It scans your CPU, GPU, VRAM, and system RAM when the server starts, then compares that against a built in list of over sixty models, covering chat and coding language models, image generators, and video generators. Each model gets a plain verdict of can run, tight fit, or too heavy, based on your real hardware rather than generic minimum requirements. The README describes it as similar in spirit to the older "Can You Run It" game checking sites, but for AI models instead of video games. It pays specific attention to Apple Silicon Macs, calculating how much of their shared unified memory is effectively available as VRAM, and it separately highlights models that can run on CPU alone with no graphics card at all. If you have Ollama installed, the app can also pull models directly from its interface with a live progress bar, though Ollama is optional and only needed for that pulling feature, not for the compatibility checking itself. Running it locally is a standard Node.js setup: clone the repository, install dependencies, run the dev command, then open the app in your browser. There is no build step or bundler involved. The backend is a small Express server that does the hardware detection and proxies requests to Ollama, while the frontend is a single plain HTML page with no JavaScript framework. The project welcomes contributions such as adding more models to its list or improving GPU detection on Linux, and it is released under the MIT license.

prompts (copy fr)

prompt 1
Help me install and run CanIRunAI locally with npm.
prompt 2
Explain how CanIRunAI calculates effective VRAM on my Apple Silicon Mac.
prompt 3
Show me how to add a new model to CanIRunAI's model database.
prompt 4
What AI models can I run on my machine without a GPU using CanIRunAI?

Frequently asked questions

what is canirunai fr?

A local web app that scans your computer's hardware and tells you which of over sixty AI models it can actually run.

What language is canirunai written in?

Mainly HTML. The stack also includes Node.js, Express, Ollama.

What license does canirunai use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is canirunai to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is canirunai for?

Mainly general.

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