Open-source project
inulute/simplexity-ai-app avatar
inulute/simplexity-ai-app

SimplexityAI wraps a hosted AI search service in an Electron shell

Community-driven P.... AI desktop app powered by Electron, bringing powerful AI language intelligence straight to your desktop.

633 stars82 forksJavaScriptGPL-3.0

At a glance

What is it?
SimplexityAI is a community-built Electron desktop app that loads the Perplexity AI web service in a native window and adds a tray icon, global shortcuts, a find bar and a notification centre. The trade is that it adds no model of its own, it is explicitly unofficial, and it breaks when the site it wraps changes.
Who is it for?
SimplexityAI suits a Perplexity user who wants the service in a real application window with a global hotkey and a tray, and who is comfortable with an unofficial wrapper that keeps updating. It does not suit a team that needs an offline model, an API it can call, or a supported vendor relationship, because the README says the application simply loads the web service and that all search functionality is powered by it.
Can I use it commercially?
Yes, with conditions. GPL-3.0 is a copyleft licence: if you distribute software that includes it, you must release that software's source code under the same licence. Running it internally without distributing it does not trigger that obligation.
Is it still maintained?
Yes. The repository last received commits 68 days ago.
What is it written in?
Mainly JavaScript, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on October 23, 2026, and from our analysis. They are not legal advice.

Editorial analysis

The disclaimer is the first thing the README tells you to read

The project is careful about what it is, and the README opens with a warning box that says SimplexityAI is an unofficial, community-built desktop application. It is not affiliated with, endorsed by or connected to Perplexity AI, and it is not an official product of the company. What it is, in the README's words, is an independent open-source project built by developers for desktop convenience that provides desktop wrapper features for the existing web service. The mechanism is stated in one sentence: the application simply loads the public website in a native desktop container with added convenience features, and all search functionality is powered by the web service. The trademark is acknowledged separately, with the name registered to the company and the project stating it has no affiliation. For a reader deciding whether to install it, that framing is the whole evaluation, because there is no local model here and no inference to run.

What the wrapper actually adds over a browser tab

The feature list is the useful part, and it is a list of desktop shell affordances rather than search features. There is system tray integration so the app minimises to the tray and keeps running in the background, auto-start on boot, window state memory so the size, position and last session are remembered, and persistent sessions so you pick up where you left off. On the interaction side there is a global quick search where you highlight text anywhere and press a hotkey, customisable shortcuts for every action, prefix search for pre-configured query templates, and a built-in find bar with match highlighting. The enhanced search list adds a find bar inside results, quick navigation, a one-click refresh that restarts the session, and zoom controls on the text size. Notifications cover in-app updates, version tracking and a notification centre for all alerts. The privacy claims are specific: the app collects zero user data, runs in a sandboxed Electron environment, stores preferences locally, and sends all searches directly to the service.

Electron, a preload of small files, and a build script

The repository layout is flat and small, which tells you the application is a thin shell rather than an application with deep logic. There is a main.js as the entry point, a search-service.js, a notification-manager.js with notification.html and notification-panel.html alongside a notifications/ directory, a settings.html, an update.html, a prefix-search.html, an index.html and a styles.css, plus an src/ directory, a build/ directory and a build-auto.js, and assets/ with icons. The package.json gives the packaging story, with the app id, the product name, asar packaging with maximum compression, and a files list that excludes documentation, tests and lockfiles from the bundle. The dependencies are the interesting part for a security-minded reader, and they are few: dompurify, which sanitises HTML, electron-clipboard-extended, electron-store for persistent settings, electron-window-state for the window memory, and marked, a Markdown parser, at version 15. The dev dependencies are electron at 33 and electron-builder at 25.

Building and packaging is a set of npm scripts

The build is driven by electron-builder, and the package.json scripts are the whole interface a contributor needs:

json
  "scripts": {
    "start": "electron .",
    "start-minimized": "electron . --hidden",
    "build": "electron-builder --publish never",
    "package-win": "electron-builder --win --publish never",
    "package-mac": "electron-builder --mac --publish never",
    "package-linux": "electron-builder --linux --publish never",
    "postinstall": "electron-builder install-app-deps",
    "package-auto": "node build-auto.js"
  },

@@C1@@The three platform scripts are the practical part, because a macOS build on a Linux machine is a known headache and the separate targets let you pick one. The start-minimized script passes a hidden flag to the Electron binary, which pairs with the auto-start and tray behaviour. The postinstall script runs the app dependency install step, and the auto packaging script delegates to the build-auto.js file at the root. The repository also has a .claude/ directory, a .github/ directory, release_notes/ and an assets/ directory with the SVG logo the README header uses, and the licence is GPL-3.0-only as recorded both in the package.json and on a badge in the README.

Distribution is through Pling and GitHub releases, per platform

There are no package manager installs here, and the README is explicit about the two download routes. The first is the project's Pling page, and the README marks it as recommended, with the reason given plainly: downloads via Pling support the project indirectly, so choosing this option helps keep SimplexityAI maintained and updated. The second is the GitHub Releases page, where you download the installer for your platform. The three platforms and their artefact formats are spelled out. Windows gets an .exe installer for Windows 10 and 11 on 64-bit, macOS gets a .dmg for macOS 10.13 and later on both Intel and Apple Silicon, and Linux gets an .AppImage or a .deb for Ubuntu, Debian, Fedora and Arch. A third option is listed as build from source, and the README starts its prerequisites list but the section is cut off in the copy available, so the exact build steps are not documented here.

Why a wrapper breaks, and who should not want one

The failure mode is structural and worth naming, because it decides who should install this. A wrapper that loads a third party's website in an embedded browser inherits every change that site makes. When the service changes its authentication flow, its DOM structure, or the way it delivers results, the wrapper's search-service.js and its notification logic have to be adjusted to match, and the user of the desktop app sees it first. The README's own feature list contains a symptom of this, with a one-click refresh that restarts the session, which is a workaround for a stale state rather than a feature in its own right. There is also the question of what the wrapper can promise. The app collects no user data of its own and stores preferences locally, but the searches it sends reach the service, so the privacy claim is about the wrapper, not about the data path end to end. A team that needs a model it can run, audit or call through an API is looking at a different category of project, and the README does not pretend otherwise.

A small, fast-moving project with an explicit purpose

The project is presented as a convenience wrapper rather than a product, and the surrounding signals are consistent with that. The release history is quick, with v5.2.0, v5.1.1 and v5.1.0 all on 2026-08-16, and the last push to the repository was on the same day, which suggests a burst of activity rather than a slow drip. The README asks readers to support the project indirectly through the Pling download, and the project carries a .claude/ directory and a .github/ directory, which are agent and automation conventions rather than application features. The default branch is main and the primary language in the repository is JavaScript, consistent with an Electron application whose source is a handful of HTML and JavaScript files loaded by a small main process. Whether that is the right shape for you depends on one question: whether you want a desktop window around a service you already use, or something you own.

Editorial conclusion

SimplexityAI suits a Perplexity user who wants the service in a real application window with a global hotkey and a tray, and who is comfortable with an unofficial wrapper that keeps updating. It does not suit a team that needs an offline model, an API it can call, or a supported vendor relationship, because the README says the application simply loads the web service and that all search functionality is powered by it. Before adopting, read the disclaimer in full, and note that the last push to the repository was on 2026-08-16 with v5.2.0 tagged the same day under GPL-3.0-only.

Frequently asked questions

Is SimplexityAI an official Perplexity AI application?

No. The README states it is an unofficial, community-built desktop application, not affiliated with, endorsed by or connected to Perplexity AI and not an official product of the company. The package.json description says the same, describing it as an unofficial Perplexity AI desktop app not affiliated with Perplexity AI.

How do I install SimplexityAI?

Download the installer for your platform from the project's Pling page, which the README marks as recommended because those downloads support the project, or take the same artefact from the GitHub Releases page. The formats are an .exe for Windows 10 and 11, a .dmg for macOS 10.13 and later on Intel and Apple Silicon, and an .AppImage or .deb for Linux.

Does SimplexityAI run an AI model locally?

No. The README says the application simply loads the Perplexity AI public website in a native desktop container with added convenience features, and that all AI search functionality is powered by that web service. The project adds a desktop shell, not inference.

What desktop features does SimplexityAI add?

System tray integration, auto-start on boot, window state memory and persistent sessions, a global quick search on highlighted text with customisable shortcuts, prefix search templates, a find bar inside results, zoom controls, in-app update notifications, a notification centre, a bright blue custom theme and dark mode support.

How is SimplexityAI built and packaged?

With Electron and electron-builder, driven by npm scripts: `npm start` runs electron ., `npm run build` runs electron-builder with publishing disabled, and there are separate package-win, package-mac and package-linux targets. The runtime dependencies are dompurify, electron-clipboard-extended, electron-store, electron-window-state and marked, with electron 33 and electron-builder 25 as dev dependencies.

Official sources

  1. inulute/simplexity-ai-app on GitHub
  2. Issues
  3. License: GPL-3.0
  4. README
  5. Releases
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