Pinokio is a free, open-source desktop "AI browser" that lets you install and run any open-source AI tool — Stable Diffusion, ComfyUI, Whisper, Ollama models, video generators, voice clones — with a single click. We rate it 78/100. It's the easiest on-ramp to local AI we've tested, but only if you have the hardware to back it up.

What is Pinokio?

Pinokio is a localhost platform built by independent developer cocktailpeanut, who first pushed the project to GitHub on July 9, 2023. The app is an Electron-based browser that wraps a script engine — community-maintained "Pinokio scripts" automate the entire dance of cloning a repo, installing the right Python or Node version, resolving CUDA dependencies, and exposing a web UI on localhost. Instead of a 40-step README, you click Install, then Open.

The project crossed 7,362 GitHub stars and 735 forks as of April 30, 2026, and the latest stable build is v7.2.6, shipped on April 18, 2026. It is MIT-licensed and runs on macOS, Windows, and Linux.

Pinokio universal one-click launcher home screen — Pinokio: the localhost AI browser advertises one-click installs for any open-source app.

Key Features of Pinokio

One-click installers: Pinokio scripts handle Python, Node, Conda, CUDA toolkits, and model downloads automatically. The community-curated discovery page covers hundreds of apps including ComfyUI, Fooocus, Whisper-WebUI, Forge, FaceFusion, Wan, and Hunyuan video models.
Side-by-side versions: Install multiple copies of the same app — useful when you want one ComfyUI on Flux and another pinned to SDXL — without environment collisions.
Local-first by design: Everything runs on localhost. No Pinokio account, no cloud sync, no usage telemetry that we could see in v7. Your prompts and outputs never leave your machine.
Agent-controllable: Pinokio 7 added a JSON-RPC gateway so external agents (including Claude Desktop and the project's own Hermes Agent) can launch apps, run scripts, and query results without UI clicks.
Cross-platform: Native builds for macOS (Apple Silicon and Intel), Windows, and Linux. The Linux AppImage currently ships with a known --disable-gpu requirement on some distros.

Pinokio discover page showing community-built AI app launchers — The Discover page is the heart of Pinokio — a directory of community-built one-click launchers for AI apps and agents.

What Users Say About Pinokio

Sentiment is overwhelmingly positive on r/StableDiffusion and r/LocalLLaMA, where Pinokio is the most-recommended starting point for anyone overwhelmed by manual environment setup. A recurring r/StableDiffusion thread describes Pinokio as a "100% free, quality of life app" that saves hours of dependency wrangling. Howtogeek's review concludes that trying local AI models "became way easier" after installing it.

The complaints are real and consistent. Multiple GitHub issues — including #222, #1010, and #1059 — flag GPU detection failures: laptops fall back to integrated Intel graphics, AMD support is patchy, and the Linux AppImage often needs --disable-gpu to launch. Apps that try to load tensors against a missing CUDA device crash with confusing scalar-type errors. Pinokio's creator has confirmed on X that minimum requirements depend entirely on the underlying app, but in practice you want at least 32 GB of RAM and an Nvidia GPU with 8 GB of VRAM for the headline workloads.

Pinokio Pricing

Pinokio is 100% free and open source under the MIT license. There is no Pro tier, no paid cloud, no subscription. The only cost is your hardware and electricity bill.

Plan	Price	What's Included
Pinokio (only plan)	$0	Full app, every community script, all platforms, MIT source on GitHub

Who Should Use Pinokio?

Best for: Hobbyists, AI artists, indie developers, and tinkerers who want to run image, video, and audio AI models locally without spending an evening fighting Conda. It's also great for instructors who want students to spin up the same model with one click.

Not ideal for: Users on a base-spec laptop with no discrete GPU — most flagship apps will OOM or crawl on integrated graphics. AMD GPU owners on Linux will hit more friction than they expect. Production teams wanting reproducible, audited deployments should reach for Docker, Modal, or Replicate instead of community scripts.

Pros and Cons

Pros:

Genuinely one-click — Stable Diffusion or Whisper can be running in under five minutes on a fresh machine.
Massive, active script library; new apps land within days of trending on r/StableDiffusion.
Multiple versions of the same app coexist cleanly — a real pain point ComfyUI users will recognize.
Free, MIT, no telemetry, no account.
Agent JSON-RPC turns Pinokio into a backend that Claude or other LLM agents can drive.

Cons:

GPU detection is fragile, especially on laptops, Linux, and AMD hardware.
Many advanced apps demand 32 GB RAM and 8+ GB VRAM — not a Pinokio limitation, but the failure messages can be opaque.
Community scripts vary in quality; a non-trivial minority break against newer PyTorch or driver versions.
No Docker isolation — a misbehaving script can write anywhere in your ~/pinokio tree.

Alternatives to Pinokio

For local LLMs specifically, Jan and Open WebUI are cleaner single-purpose options. AnythingLLM overlaps for RAG-style workflows. If you only care about Stable Diffusion, ComfyUI's standalone portable build skips the Pinokio layer entirely. For reproducibility, Replicate or Modal let you run the same models in the cloud with versioned containers.

Verdict: Is Pinokio Worth It?

If you have a recent Nvidia GPU and 32 GB of RAM, Pinokio is the fastest way we know to go from "I want to try this trending AI tool" to actually running it. Hand it to a friend who's curious about Stable Diffusion or local Llama models and they'll be generating output within an hour. That alone earns it a 78/100. The score isn't higher because GPU detection is still rough on Linux and AMD hardware, error messages can be cryptic when an underlying app misbehaves, and there is no sandboxing layer between scripts and your filesystem. For its target audience — tinkerers and creators on capable hardware — it's the best tool of its kind in 2026.

Frequently Asked Questions

Is Pinokio free?: Yes. Pinokio is 100% free and MIT-licensed. There is no paid tier, subscription, or hidden cost. You only pay for the hardware you run it on.
What platforms does Pinokio support?: Pinokio supports macOS (Apple Silicon and Intel), Windows, and Linux. Builds are downloadable from pinokio.co/download.
How does Pinokio compare to ComfyUI?: ComfyUI is a single image-generation app; Pinokio is a launcher that can install ComfyUI alongside hundreds of other AI tools and manage their environments. Most ComfyUI users on Pinokio still use ComfyUI's own UI — Pinokio just handles the install and updates.
Is Pinokio open source?: Yes. Source is on GitHub under the MIT license, with 7,300+ stars as of April 2026.
What hardware do I need for Pinokio?: Pinokio itself runs on almost anything (even a Raspberry Pi). The apps you install are the limit: most flagship image and video models want at least 32 GB of system RAM and an Nvidia GPU with 8 GB+ of VRAM.

#llm-runner

Pinokio