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Pinokio
#41 in AI Useful
5/5
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Pinokio installs and runs hundreds of open source AI apps locally, no terminal in sight

Updated on August 8, 2026

Pinokio is an AI app browser: it installs, launches and automates open source tools (image, voice, video, language models) right on your computer, with zero command line involved. The software is free under the MIT license and runs on Windows, macOS and Linux. An anonymous developer known as cocktailpeanut has steered the project since 2023, and it has become a fixture of the local AI scene. Your files never leave your machine, provided your graphics card can keep up.

Pros
  • Completely free and open source under MIT
  • Dependencies and models downloaded automatically
  • Everything runs and stays on your machine
  • Catalog spans image, video, voice, music and text
  • Clean removal, delete one folder and it is gone
Cons
  • A beefy NVIDIA card is still advised for image and video
  • Community scripts call for a little caution
  • Downloaded models eat disk space quickly

From the Discover tab to a running app, minus the command line

Pinokio automates the full install chain of an open source AI app: cloning the repository, building an isolated Python environment, picking the PyTorch build that matches your graphics card, pulling model weights from Hugging Face. You browse the Discover tab, hit Install, and a few minutes later ComfyUI or Fooocus opens like any ordinary website.

Everything lives in one isolated folder, ~/pinokio by default. Nothing else on your system gets touched, and deleting that folder removes the lot (models weigh a ton, your hard drive will thank you for remembering). A few regulars from the catalog:

  • Fooocus, Forge and ComfyUI for image generation
  • Ollama and Open WebUI for local chatbots
  • Whisper WebUI for transcription
  • AI-Toolkit for training your own LoRAs
A guided first run of the Pinokio AI browser
Full tour of Pinokio, from setup to first apps

Pinokio as a home server, resource monitor included

Version 8 turned Pinokio into a home server: apps installed on your GPU tower become reachable from a laptop or tablet on the same local network, remote installs included.

Monitoring followed along. The process monitor shows RAM, CPU and VRAM app by app, handy for spotting which one is hogging the graphics card. An Ask AI sidebar answers questions about your apps through opencode, while a beta shield called Bluefairy blocks packages published less than 72 hours ago to fend off supply chain attacks.

The right hardware before installing Pinokio

Pinokio costs nothing and no paid tier exists: hardware is the only entry ticket. Plan on at least 6 GB of VRAM for comfortable image generation and closer to 12 GB for video, with NVIDIA cards remaining the safest bet.

On the caution side, keep to scripts from the official catalog or from authors you can identify: a Pinokio launcher is still code executed on your machine. Budget-wise, breathe easy: the catalog lines up subscription-free stand-ins for paid services, very much in the spirit of free AI apps that never send an invoice.

What you fancyInstall through PinokioSuggested hardware
Generating imagesFooocus, Forge, ComfyUINVIDIA GPU, 6 GB of VRAM minimum
Producing videoComfyUI and its video models12 GB of VRAM or above
Chatting with a local LLMOllama, Open WebUIDepends on the model size
Transcribing or voice generationWhisper WebUI, E2-F5-TTSLow VRAM variants exist

Frequently asked questions

Is Pinokio free?

Yes, Pinokio is entirely free and open source under the MIT license, with no paid edition or hidden fees. The apps in its catalog are open source projects as well. Your only real costs are hardware and electricity, since the computing happens on your own machine rather than in a provider's cloud.

Is Pinokio safe?

The software itself is open source with its code public on GitHub, which limits nasty surprises. The real caution point lies in the third-party scripts it executes: stay within the official catalog and known authors. An optional beta protection also blocks packages published less than 72 hours ago to counter supply chain attacks.

Pinokio or Ollama, which one should you pick?

They play on different fields: Ollama focuses on local language models, while Pinokio also covers image, video, voice and music with ready-made graphical interfaces. Nothing forces a choice either way, since Pinokio can set up Ollama and Open WebUI for you in a few minutes.

Does Pinokio work offline?

Once an app and its models are downloaded, it runs without a connection, since all the computing happens on your hardware. Internet only becomes useful again for installing new apps, updating, or for tools that call a remote API. That makes it a solid pick for confidential documents.

Verdict: Tinkering with Stable Diffusion on a rainy Sunday without touching Python is where Pinokio shines. Local AI hobbyists, graphic designers and developers with a capable GPU will find it a serious shortcut into the whole open source catalog.

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