anmolkapil/plexo

Speed up downloads by combining multiple network connections in parallel

TypeScript

142

142 commits

updated Sep 18, 2026

See the code
bandwidth-aggregation
cross-platform
desktop-app
downloader
downloadmanager
linux
macos
multiconnection
parallel-downloads
windows

See what people are saying (1)

SourceMessageScoreDate

I built Plexo — a download manager that combines multiple internet connections for a single download. (r/SideProject)

I was trying to download a huge game (\~50GB) which was taking too long on my Wifi. So I got this idea, why not combine speed from my Phone's 5G. Then I built Plexo, which lets you combine multiple networks. BOOOST SPEED 🚀 SAVE TIME !!! It is open source, and I’ve put up a pre-release for anyone…

2

Sep 18, 2026

README

Plexo

A fast download manager for Windows, macOS, and Linux that speeds up downloads by pulling chunks in parallel across multiple network connections at the same time.

For example, if your computer has:

  • Wi-Fi
  • Ethernet
  • USB-tethered phone (iPhone or Android)

Plexo can utilize all of them simultaneously to download the same file.

https://github.com/user-attachments/assets/e57728f4-fb63-441f-839c-174eef954b17


⚠️ Before you start

Using Android USB tethering on macOS?

macOS does not natively provide an RNDIS driver, so Android phones with USB tethering enabled won't appear as network interfaces out of the box (this is also why legacy kernel extensions like HoRNDIS stopped working on Apple Silicon and modern macOS).

To use your Android phone's connection over USB, install TetherKit — a kext-free, user-space RNDIS driver.

See Using a USB-tethered Android phone for setup instructions.

Plexo can only route traffic through connections that your operating system recognizes as network interfaces.


Why Plexo?

A single TCP connection rarely saturates your actual bandwidth. Even when your computer has multiple active networks — such as Wi-Fi and a tethered mobile phone — the operating system routes all traffic through a single default gateway, leaving the other interfaces completely idle.

Plexo changes that: it splits the file into independent byte ranges and downloads them simultaneously through distinct physical network interfaces.

                    ┌── Wi-Fi (IP: 192.168.1.40) ────┐
                    │                                │
File ──→ Split ─────┼── Ethernet (IP: 10.0.0.12) ────┼──→ Assembled File
                    │                                │
                    └── USB Tether (IP: 172.20.10.3) ┘

Multiple networks → concurrent HTTP range requests → aggregated bandwidth


Features

  • 🚀 Multi-interface, multi-connection downloads — splits files into fixed 8 MB chunks and fans them out across worker connections bound to specific network interfaces (up to 8 parallel connections per interface, 32 total).
  • 🔌 Hardware interface detection — queries Windows adapters via PowerShell Get-NetAdapter and macOS hardware ports via networksetup so Wi-Fi, Ethernet, tethered iPhones, and Thunderbolt bridges are labeled by real device names instead of bare BSD names (en0, en6).
  • ⚖️ Dynamic work-stealing queue — chunks are leased from a shared pending queue; faster networks pull more chunks instead of waiting for slower connections to finish.
  • ⏸️ Resumable downloads — cleanly pause or retry failed downloads without losing progress, preserving completed part-N chunk files on disk.
  • 💾 Relaunch recovery — interrupted downloads are restored as paused after Plexo restarts, with progress and part files preserved in application data.
  • 🛡️ Safe, integrity-checked resume — re-verifies remote ETag and Last-Modified validators before resuming, refusing to resume (rather than corrupting the file) if the server-side file has changed.
  • 🔁 Automatic retry with backoff — failed chunks are automatically returned to the queue and retried with exponential backoff (up to 5 retries, 1s–15s backoff).
  • 💤 Stall detection & watchdog — automatically drops and re-queues connections that remain open but silent (>20s without incoming data).
  • 🔔 Desktop notifications — native desktop alerts when downloads complete or encounter errors.
  • 💾 Upfront disk-space verification — verifies free disk space before writing any temporary part files.
  • 🔀 Mid-download redirect handling — transparently follows 3xx HTTP redirects (up to 5 hops) during probing and individual chunk downloads.
  • 📊 Real-time telemetry — live throughput graphs, rolling-window ETA calculation, and per-connection transfer stats.
  • 🗺️ Interactive progress grid — 1:1 visual map of individual 8 MB chunks, color-coded by the network interface that fetched each chunk with accurate per-network byte attribution.
  • 🎨 Network customization — rename and recolor physical network interfaces with persistent user preferences.
  • 🌓 Light & Dark modes — full theme support with an instant toggle between light and dark modes.

How it works

Instead of downloading a file linearly over a single socket, Plexo requests arbitrary slices of the file simultaneously across multiple physical network interfaces. Three core technical primitives make this work:

1. HTTP range requests (206 Partial Content)

Most modern HTTP servers support byte-level slicing:

GET /ubuntu-26.04.1-desktop-amd64.iso HTTP/1.1
Host: releases.ubuntu.com
Range: bytes=8388608-16777215

Servers advertise this capability with the Accept-Ranges: bytes response header and reply with HTTP status 206 Partial Content. Because byte slices are stateless and independent, Plexo can request dozens of chunks at once, in any order, and stitch them together later.

Probing before downloading

Before starting a multi-connection download, Plexo sends a 1-byte ranged GET (Range: bytes=0-0), following any redirects:

  • Unlike a HEAD request (which servers and CDNs frequently misreport), receiving a 206 Partial Content response conclusively proves that range requests are supported and functional.
  • The probe response provides the total file size (Content-Range / Content-Length), suggested filename (Content-Disposition), and cache validators (ETag and Last-Modified).
  • If the server answers with 200 OK (ignoring the Range header), Plexo falls back to a standard single-connection stream instead of failing.

2. Multi-interface socket binding via localAddress

Every active network interface on your computer has its own local IP address — Wi-Fi might be 192.168.1.40, while a USB-tethered phone is 172.20.10.3.

A standard TCP socket leaves interface selection to the operating system's routing table. However, Node.js allows outbound HTTP/HTTPS requests to explicitly bind to a specific local IP using the localAddress option:

https.request({
  hostname: 'releases.ubuntu.com',
  path: '/ubuntu-26.04.1-desktop-amd64.iso',
  localAddress: '172.20.10.3', // Forces this connection through the USB tether
  headers: {
    Range: 'bytes=8388608-16777215'
  }
})

This single option is Plexo's entire multi-network routing engine:

  • No virtual network adapters or VPN tunnels
  • No packet bonding or link aggregation
  • No kernel extensions (kext) or root privileges
  • Zero native C/C++ dependencies

3. Dynamic work-stealing queue

If you statically divide a 6 GB file into equal shares (e.g. 3 GB on Wi-Fi and 3 GB on mobile data), the total download speed is bottlenecked by the slower network.

Instead, Plexo uses a dynamic work-stealing queue:

  1. The file is split into fixed 8 MB chunks.
  2. All chunks enter a centralized pending queue.
  3. A pool of worker connections (up to 8 per interface, 32 total) continuously lease the next chunk from the queue as soon as they become free.
  4. Faster interfaces finish chunks quicker and immediately pick up new ones; slower interfaces pull fewer chunks.
Shared Pending Queue: [Chunk #4] [Chunk #5] [Chunk #6] [Chunk #7] [Chunk #8] ...
                            ↑           ↑           ↑
                         Worker 1    Worker 2    Worker 3
                         (Wi-Fi)     (Ethernet)  (USB Tether)

Work distribution is dynamically proportional to each interface's real-time throughput. If one network slows down or disconnects, remaining workers continue draining the queue without stalled shares.

4. File reassembly & stream pipeline

Each worker writes its assigned byte range directly to an isolated temporary file on disk (part-0, part-1, ... part-N).

Once the queue is drained and all chunk promises resolve:

  • Plexo streams each part-N file sequentially into the final destination file using Node.js streams (createReadStream piped into createWriteStream with { flags: 'a' }).
  • The temporary chunk directory is cleaned up.
  • The assembled file is verified against the expected byte length.

Downloads are resumable

When you pause a download:

  • Plexo aborts all active HTTP socket connections via AbortController.
  • All completed part-N files remain cached on disk in a temporary directory.

When you resume:

  1. Validator check: Plexo sends a probe request to compare the server's current ETag and Last-Modified headers against the values recorded when the download started.
  2. Safe resume: If the validators match, Plexo checks which part-N files are already complete on disk, skips them, and queues only the remaining chunks.
  3. Guard against corruption: If the file on the server has changed, Plexo refuses to resume to prevent combining incompatible slices into a corrupt file.

Download manifests and partial data are stored under Plexo's application-data directory. If Plexo quits or crashes during a transfer, it restores that transfer as paused on the next launch. Explicitly cancelling or removing a download still deletes its partial data.


What is a chunk?

A chunk is the atomic unit of work in Plexo:

  • Size: Exactly 8 MB (with the final chunk sized to the remaining bytes).
  • Transport: One independent HTTP range request (Range: bytes=START-END).
  • Storage: Written directly to an isolated part-N file in the download's temp directory.
  • Assignment: Leased to an individual worker socket bound to a specific network interface.
Chunk #0 → Range: bytes=0-8388607         → part-0 (Wi-Fi)
Chunk #1 → Range: bytes=8388608-16777215  → part-1 (Ethernet)
Chunk #2 → Range: bytes=16777216-25165823 → part-2 (USB Tether)

Why 8 MB?

8 MB provides the optimal balance: large enough to minimize HTTP connection overhead and TLS handshakes, yet small enough to keep the work-stealing queue fluid, ensure fine-grained load balancing across mismatched connections, and keep retries cheap (a failed or stalled connection only discards at most 8 MB).


What is the progress grid?

The progress grid provides a real-time visual map of the entire download.

Every 8 MB chunk maps 1:1 to its own square in the grid. Square #N directly corresponds to the Chunk #N badge shown in the active streams table, allowing you to cross-reference active connections with their location in the file.

Active Streams:
[Wi-Fi]      → Chunk #4
[Ethernet]   → Chunk #5
[USB Tether] → Chunk #6

Progress Grid:
[#1][#2][#3][#4][#5][#6][#7][#8]...

Getting started

Plexo currently doesn't have pre-built releases, so you'll need to run it from source.

Requirements

  • Windows 10/11, macOS, or Linux: Windows uses its built-in Windows PowerShell for adapter metadata; macOS uses networksetup; Linux provides fallback interface detection and desktop network settings integration.
  • Node.js: 22.12+ (Node 22 LTS recommended).
  • npm: v9+ recommended.

Run Plexo locally

Clone the repository:

git clone https://github.com/anmolkapil/plexo.git
cd plexo

Install dependencies:

npm install

Start the application in development mode:

npm run dev

Running tests

Plexo includes an automated end-to-end test suite driven by Playwright:

npm run test:e2e:smoke          # quick smoke tests
npm run test:e2e                # full E2E test suite (including integrity and chaos tests)

See CONTRIBUTING.md for testing options and debugging flags.


Build the macOS app

To package Plexo as a standalone macOS application bundle:

npm run build:mac

The compiled application will be generated at:

dist/mac/Plexo.app

Note on Gatekeeper: The app is unsigned because it is not distributed with a paid Apple Developer certificate. However, because you compile it locally on your machine, macOS will not apply the quarantine flag (com.apple.quarantine). Gatekeeper only quarantines files downloaded from the web (via browsers, curl, etc.), so your locally built Plexo.app will launch cleanly without quarantine warnings.

Build the Windows app

Run these commands from PowerShell in the project directory:

npm install
npm run build:win

The installer is generated at dist/plexo-1.0.0-setup.exe. For an unpacked app, run npm run build:unpack and launch dist/win-unpacked/plexo.exe. Local builds are unsigned.

Windows uses native window controls, Ctrl+V hints, File Explorer integration, and Windows Network Settings. Download filenames are normalized to Windows filename rules.

USB tethering on Windows

Enable USB tethering on your phone and check that its adapter appears in Windows Network Settings. Install the phone manufacturer's Windows driver if Windows does not recognize it. TetherKit is only needed for the macOS setup below.

Each selected network needs a working IPv4 connection and a route to the download server. Adapter detection does not guarantee Internet access: VPN, virtual, and isolated adapters may also appear. Check per-network latency and transfer stats. Combined throughput depends on the networks, Windows routing, and the server; it needs testing with your particular connections.

Linux packaging remains available via npm run build:linux (see Build the Linux app).


Build the Linux app

To package Plexo for Linux:

npm run build:linux

The package will be generated in dist/.


Using a USB-tethered Android phone

Android USB tethering requires an additional setup step on macOS.

macOS lacks native support for the RNDIS (Remote Network Driver Interface Specification) protocol. An Android phone with USB tethering enabled will charge and support MTP/ADB, but macOS will not expose it as a network interface (this is also why legacy kernel extensions like HoRNDIS stopped functioning on modern macOS and Apple Silicon).

Install TetherKit

TetherKit is an open-source, kext-free, user-space RNDIS driver that makes Android USB tethering available as a standard network interface on macOS.

Install it via Homebrew:

brew install XiaoMiku01/tap/tetherkit

Steps:

  1. Connect your Android device via USB.
  2. On your phone, navigate to Settings → Network & Internet → Hotspot & tethering and enable USB tethering.
  3. Once TetherKit is active, macOS registers the device as a network interface.
  4. Open Plexo — the new interface will be automatically detected and ready to carry download chunks.

Special thanks to @XiaoMiku01 for developing and open-sourcing TetherKit!


Contributing

Contributions are welcome! Whether you're optimizing download concurrency, improving UI responsiveness, or testing new tethering setups:

  • 🐛 Fix bugs & edge cases
  • 🚀 Improve download engine & socket throughput
  • 🌐 Expand multi-interface detection to other platforms (Linux)
  • 🎨 Enhance UI/UX and dark mode styling
  • 🧪 Test diverse multi-network environments (5G tethering, Wi-Fi 6, 10GbE)
  • 📖 Improve documentation & guides

For development setup, coding standards, and PR workflows, see CONTRIBUTING.md.


Tech stack

Plexo is built with:

  • Electron — desktop runtime
  • React 19 — declarative UI
  • Tailwind CSS v4 & Base UI — modern styling and accessible component primitives
  • TypeScript — end-to-end type safety
  • Zustand — lightweight client state management
  • Lucide React — icons
  • Playwright — end-to-end testing suite
  • electron-vite — fast HMR and build tooling
  • electron-builder — multi-platform packaging (macOS, Windows, Linux)

License

MIT — see LICENSE.

Contributors

anmolkapil

121 commits

prashantGeek

18 commits

HiteshRohira

2 commits

SahilDabhi

1 commits

anmolkapil/plexo

Speed up downloads by combining multiple network connections in parallel

TypeScript

142

142 commits

updated Sep 18, 2026

See the code
bandwidth-aggregation
cross-platform
desktop-app
downloader
downloadmanager
linux
macos
multiconnection
parallel-downloads
windows

See what people are saying (1)

SourceMessageScoreDate

I built Plexo — a download manager that combines multiple internet connections for a single download. (r/SideProject)

I was trying to download a huge game (\~50GB) which was taking too long on my Wifi. So I got this idea, why not combine speed from my Phone's 5G. Then I built Plexo, which lets you combine multiple networks. BOOOST SPEED 🚀 SAVE TIME !!! It is open source, and I’ve put up a pre-release for anyone…

2

Sep 18, 2026

README

Plexo

A fast download manager for Windows, macOS, and Linux that speeds up downloads by pulling chunks in parallel across multiple network connections at the same time.

For example, if your computer has:

  • Wi-Fi
  • Ethernet
  • USB-tethered phone (iPhone or Android)

Plexo can utilize all of them simultaneously to download the same file.

https://github.com/user-attachments/assets/e57728f4-fb63-441f-839c-174eef954b17


⚠️ Before you start

Using Android USB tethering on macOS?

macOS does not natively provide an RNDIS driver, so Android phones with USB tethering enabled won't appear as network interfaces out of the box (this is also why legacy kernel extensions like HoRNDIS stopped working on Apple Silicon and modern macOS).

To use your Android phone's connection over USB, install TetherKit — a kext-free, user-space RNDIS driver.

See Using a USB-tethered Android phone for setup instructions.

Plexo can only route traffic through connections that your operating system recognizes as network interfaces.


Why Plexo?

A single TCP connection rarely saturates your actual bandwidth. Even when your computer has multiple active networks — such as Wi-Fi and a tethered mobile phone — the operating system routes all traffic through a single default gateway, leaving the other interfaces completely idle.

Plexo changes that: it splits the file into independent byte ranges and downloads them simultaneously through distinct physical network interfaces.

                    ┌── Wi-Fi (IP: 192.168.1.40) ────┐
                    │                                │
File ──→ Split ─────┼── Ethernet (IP: 10.0.0.12) ────┼──→ Assembled File
                    │                                │
                    └── USB Tether (IP: 172.20.10.3) ┘

Multiple networks → concurrent HTTP range requests → aggregated bandwidth


Features

  • 🚀 Multi-interface, multi-connection downloads — splits files into fixed 8 MB chunks and fans them out across worker connections bound to specific network interfaces (up to 8 parallel connections per interface, 32 total).
  • 🔌 Hardware interface detection — queries Windows adapters via PowerShell Get-NetAdapter and macOS hardware ports via networksetup so Wi-Fi, Ethernet, tethered iPhones, and Thunderbolt bridges are labeled by real device names instead of bare BSD names (en0, en6).
  • ⚖️ Dynamic work-stealing queue — chunks are leased from a shared pending queue; faster networks pull more chunks instead of waiting for slower connections to finish.
  • ⏸️ Resumable downloads — cleanly pause or retry failed downloads without losing progress, preserving completed part-N chunk files on disk.
  • 💾 Relaunch recovery — interrupted downloads are restored as paused after Plexo restarts, with progress and part files preserved in application data.
  • 🛡️ Safe, integrity-checked resume — re-verifies remote ETag and Last-Modified validators before resuming, refusing to resume (rather than corrupting the file) if the server-side file has changed.
  • 🔁 Automatic retry with backoff — failed chunks are automatically returned to the queue and retried with exponential backoff (up to 5 retries, 1s–15s backoff).
  • 💤 Stall detection & watchdog — automatically drops and re-queues connections that remain open but silent (>20s without incoming data).
  • 🔔 Desktop notifications — native desktop alerts when downloads complete or encounter errors.
  • 💾 Upfront disk-space verification — verifies free disk space before writing any temporary part files.
  • 🔀 Mid-download redirect handling — transparently follows 3xx HTTP redirects (up to 5 hops) during probing and individual chunk downloads.
  • 📊 Real-time telemetry — live throughput graphs, rolling-window ETA calculation, and per-connection transfer stats.
  • 🗺️ Interactive progress grid — 1:1 visual map of individual 8 MB chunks, color-coded by the network interface that fetched each chunk with accurate per-network byte attribution.
  • 🎨 Network customization — rename and recolor physical network interfaces with persistent user preferences.
  • 🌓 Light & Dark modes — full theme support with an instant toggle between light and dark modes.

How it works

Instead of downloading a file linearly over a single socket, Plexo requests arbitrary slices of the file simultaneously across multiple physical network interfaces. Three core technical primitives make this work:

1. HTTP range requests (206 Partial Content)

Most modern HTTP servers support byte-level slicing:

GET /ubuntu-26.04.1-desktop-amd64.iso HTTP/1.1
Host: releases.ubuntu.com
Range: bytes=8388608-16777215

Servers advertise this capability with the Accept-Ranges: bytes response header and reply with HTTP status 206 Partial Content. Because byte slices are stateless and independent, Plexo can request dozens of chunks at once, in any order, and stitch them together later.

Probing before downloading

Before starting a multi-connection download, Plexo sends a 1-byte ranged GET (Range: bytes=0-0), following any redirects:

  • Unlike a HEAD request (which servers and CDNs frequently misreport), receiving a 206 Partial Content response conclusively proves that range requests are supported and functional.
  • The probe response provides the total file size (Content-Range / Content-Length), suggested filename (Content-Disposition), and cache validators (ETag and Last-Modified).
  • If the server answers with 200 OK (ignoring the Range header), Plexo falls back to a standard single-connection stream instead of failing.

2. Multi-interface socket binding via localAddress

Every active network interface on your computer has its own local IP address — Wi-Fi might be 192.168.1.40, while a USB-tethered phone is 172.20.10.3.

A standard TCP socket leaves interface selection to the operating system's routing table. However, Node.js allows outbound HTTP/HTTPS requests to explicitly bind to a specific local IP using the localAddress option:

https.request({
  hostname: 'releases.ubuntu.com',
  path: '/ubuntu-26.04.1-desktop-amd64.iso',
  localAddress: '172.20.10.3', // Forces this connection through the USB tether
  headers: {
    Range: 'bytes=8388608-16777215'
  }
})

This single option is Plexo's entire multi-network routing engine:

  • No virtual network adapters or VPN tunnels
  • No packet bonding or link aggregation
  • No kernel extensions (kext) or root privileges
  • Zero native C/C++ dependencies

3. Dynamic work-stealing queue

If you statically divide a 6 GB file into equal shares (e.g. 3 GB on Wi-Fi and 3 GB on mobile data), the total download speed is bottlenecked by the slower network.

Instead, Plexo uses a dynamic work-stealing queue:

  1. The file is split into fixed 8 MB chunks.
  2. All chunks enter a centralized pending queue.
  3. A pool of worker connections (up to 8 per interface, 32 total) continuously lease the next chunk from the queue as soon as they become free.
  4. Faster interfaces finish chunks quicker and immediately pick up new ones; slower interfaces pull fewer chunks.
Shared Pending Queue: [Chunk #4] [Chunk #5] [Chunk #6] [Chunk #7] [Chunk #8] ...
                            ↑           ↑           ↑
                         Worker 1    Worker 2    Worker 3
                         (Wi-Fi)     (Ethernet)  (USB Tether)

Work distribution is dynamically proportional to each interface's real-time throughput. If one network slows down or disconnects, remaining workers continue draining the queue without stalled shares.

4. File reassembly & stream pipeline

Each worker writes its assigned byte range directly to an isolated temporary file on disk (part-0, part-1, ... part-N).

Once the queue is drained and all chunk promises resolve:

  • Plexo streams each part-N file sequentially into the final destination file using Node.js streams (createReadStream piped into createWriteStream with { flags: 'a' }).
  • The temporary chunk directory is cleaned up.
  • The assembled file is verified against the expected byte length.

Downloads are resumable

When you pause a download:

  • Plexo aborts all active HTTP socket connections via AbortController.
  • All completed part-N files remain cached on disk in a temporary directory.

When you resume:

  1. Validator check: Plexo sends a probe request to compare the server's current ETag and Last-Modified headers against the values recorded when the download started.
  2. Safe resume: If the validators match, Plexo checks which part-N files are already complete on disk, skips them, and queues only the remaining chunks.
  3. Guard against corruption: If the file on the server has changed, Plexo refuses to resume to prevent combining incompatible slices into a corrupt file.

Download manifests and partial data are stored under Plexo's application-data directory. If Plexo quits or crashes during a transfer, it restores that transfer as paused on the next launch. Explicitly cancelling or removing a download still deletes its partial data.


What is a chunk?

A chunk is the atomic unit of work in Plexo:

  • Size: Exactly 8 MB (with the final chunk sized to the remaining bytes).
  • Transport: One independent HTTP range request (Range: bytes=START-END).
  • Storage: Written directly to an isolated part-N file in the download's temp directory.
  • Assignment: Leased to an individual worker socket bound to a specific network interface.
Chunk #0 → Range: bytes=0-8388607         → part-0 (Wi-Fi)
Chunk #1 → Range: bytes=8388608-16777215  → part-1 (Ethernet)
Chunk #2 → Range: bytes=16777216-25165823 → part-2 (USB Tether)

Why 8 MB?

8 MB provides the optimal balance: large enough to minimize HTTP connection overhead and TLS handshakes, yet small enough to keep the work-stealing queue fluid, ensure fine-grained load balancing across mismatched connections, and keep retries cheap (a failed or stalled connection only discards at most 8 MB).


What is the progress grid?

The progress grid provides a real-time visual map of the entire download.

Every 8 MB chunk maps 1:1 to its own square in the grid. Square #N directly corresponds to the Chunk #N badge shown in the active streams table, allowing you to cross-reference active connections with their location in the file.

Active Streams:
[Wi-Fi]      → Chunk #4
[Ethernet]   → Chunk #5
[USB Tether] → Chunk #6

Progress Grid:
[#1][#2][#3][#4][#5][#6][#7][#8]...

Getting started

Plexo currently doesn't have pre-built releases, so you'll need to run it from source.

Requirements

  • Windows 10/11, macOS, or Linux: Windows uses its built-in Windows PowerShell for adapter metadata; macOS uses networksetup; Linux provides fallback interface detection and desktop network settings integration.
  • Node.js: 22.12+ (Node 22 LTS recommended).
  • npm: v9+ recommended.

Run Plexo locally

Clone the repository:

git clone https://github.com/anmolkapil/plexo.git
cd plexo

Install dependencies:

npm install

Start the application in development mode:

npm run dev

Running tests

Plexo includes an automated end-to-end test suite driven by Playwright:

npm run test:e2e:smoke          # quick smoke tests
npm run test:e2e                # full E2E test suite (including integrity and chaos tests)

See CONTRIBUTING.md for testing options and debugging flags.


Build the macOS app

To package Plexo as a standalone macOS application bundle:

npm run build:mac

The compiled application will be generated at:

dist/mac/Plexo.app

Note on Gatekeeper: The app is unsigned because it is not distributed with a paid Apple Developer certificate. However, because you compile it locally on your machine, macOS will not apply the quarantine flag (com.apple.quarantine). Gatekeeper only quarantines files downloaded from the web (via browsers, curl, etc.), so your locally built Plexo.app will launch cleanly without quarantine warnings.

Build the Windows app

Run these commands from PowerShell in the project directory:

npm install
npm run build:win

The installer is generated at dist/plexo-1.0.0-setup.exe. For an unpacked app, run npm run build:unpack and launch dist/win-unpacked/plexo.exe. Local builds are unsigned.

Windows uses native window controls, Ctrl+V hints, File Explorer integration, and Windows Network Settings. Download filenames are normalized to Windows filename rules.

USB tethering on Windows

Enable USB tethering on your phone and check that its adapter appears in Windows Network Settings. Install the phone manufacturer's Windows driver if Windows does not recognize it. TetherKit is only needed for the macOS setup below.

Each selected network needs a working IPv4 connection and a route to the download server. Adapter detection does not guarantee Internet access: VPN, virtual, and isolated adapters may also appear. Check per-network latency and transfer stats. Combined throughput depends on the networks, Windows routing, and the server; it needs testing with your particular connections.

Linux packaging remains available via npm run build:linux (see Build the Linux app).


Build the Linux app

To package Plexo for Linux:

npm run build:linux

The package will be generated in dist/.


Using a USB-tethered Android phone

Android USB tethering requires an additional setup step on macOS.

macOS lacks native support for the RNDIS (Remote Network Driver Interface Specification) protocol. An Android phone with USB tethering enabled will charge and support MTP/ADB, but macOS will not expose it as a network interface (this is also why legacy kernel extensions like HoRNDIS stopped functioning on modern macOS and Apple Silicon).

Install TetherKit

TetherKit is an open-source, kext-free, user-space RNDIS driver that makes Android USB tethering available as a standard network interface on macOS.

Install it via Homebrew:

brew install XiaoMiku01/tap/tetherkit

Steps:

  1. Connect your Android device via USB.
  2. On your phone, navigate to Settings → Network & Internet → Hotspot & tethering and enable USB tethering.
  3. Once TetherKit is active, macOS registers the device as a network interface.
  4. Open Plexo — the new interface will be automatically detected and ready to carry download chunks.

Special thanks to @XiaoMiku01 for developing and open-sourcing TetherKit!


Contributing

Contributions are welcome! Whether you're optimizing download concurrency, improving UI responsiveness, or testing new tethering setups:

  • 🐛 Fix bugs & edge cases
  • 🚀 Improve download engine & socket throughput
  • 🌐 Expand multi-interface detection to other platforms (Linux)
  • 🎨 Enhance UI/UX and dark mode styling
  • 🧪 Test diverse multi-network environments (5G tethering, Wi-Fi 6, 10GbE)
  • 📖 Improve documentation & guides

For development setup, coding standards, and PR workflows, see CONTRIBUTING.md.


Tech stack

Plexo is built with:

  • Electron — desktop runtime
  • React 19 — declarative UI
  • Tailwind CSS v4 & Base UI — modern styling and accessible component primitives
  • TypeScript — end-to-end type safety
  • Zustand — lightweight client state management
  • Lucide React — icons
  • Playwright — end-to-end testing suite
  • electron-vite — fast HMR and build tooling
  • electron-builder — multi-platform packaging (macOS, Windows, Linux)

License

MIT — see LICENSE.

Contributors

anmolkapil

121 commits

prashantGeek

18 commits

HiteshRohira

2 commits

SahilDabhi

1 commits

Languages

TypeScript

97.7%

CSS

1.8%