Check which local LLMs, image generators, or video generators your PC or Mac can run before downloading them.
Pull a compatible Ollama model directly from the app once you know it fits your hardware.
Find CPU-only AI models that work without a dedicated graphics card.
Compare compatibility across chat, code, vision, image, and video model categories.
| ugochi56/canirunai | 100/rutgers-pbl-dining-2015 | a15n/a15n_old | |
|---|---|---|---|
| Stars | 0 | — | — |
| Language | HTML | HTML | HTML |
| Last pushed | — | 2015-12-01 | 2016-06-18 |
| Maintenance | — | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 1/5 | 1/5 |
| Audience | general | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Node.js 18+, Ollama is optional and only needed if you want to pull models from within the app.
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.
A local web app that scans your computer's hardware and tells you which of over sixty AI models it can actually run.
Mainly HTML. The stack also includes Node.js, Express, Ollama.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.