test another build

.cspell/project-terms.txt

@@ -32,6 +32,7 @@ KOBOLDCPP
 lora
 lowvram
 Lowvram
+makepkg
 maximizable
 minimizable
 MMAP
@@ -49,6 +50,7 @@ nvidia
 oldpc
 OLDPC
 opencl
+paru
 pkexec
 quantmatmul
 radeon

README.md

@@ -1,17 +1,68 @@
 # Friendly Kobold
 
-A koboldcpp manager. <!-- markdownlint-disable MD033 -->
+A modern desktop app for running Large Language Models locally. <!-- markdownlint-disable MD033 -->
 <img src="assets/icon.png" alt="FriendlyKobold Icon" width="32" height="32">
 
 <!-- markdownlint-enable MD033 -->
 
 ## Core Features
 
-- modern UI for [koboldcpp](https://github.com/LostRuins/koboldcpp) with full support for Linux Wayland
+- **Run LLMs locally** with a modern, intuitive interface powered by [KoboldCpp](https://github.com/LostRuins/koboldcpp)
-- download and keep up-to-date your [koboldcpp](https://github.com/LostRuins/koboldcpp/releases) binary
+- **Full Linux Wayland support** for seamless integration with modern Linux desktops
-- manage the koboldcpp binary to prevent it from running in the background indefinitely
+- **Automatic updates** - Download and keep your KoboldCpp binary up-to-date effortlessly
-- automatically unpack all downloaded koboldcpp binaries for significantly faster operation and reduced RAM+HDD utilization (up to ~4GB less RAM usage for ROCm)
+- **Smart process management** - Prevents runaway background processes and system resource waste
-- added presets for a basic flux or chroma image generation setup
+- **Optimized performance** - Automatically unpacks binaries for faster operation and reduced memory usage (up to ~4GB less RAM)
+- **Image generation support** - Built-in presets for Flux and Chroma image generation workflows
+- **Privacy-focused** - Everything runs locally on your machine, no data sent to external servers
+
+### Windows ROCm Support
+
+There is ROCm Windows support maintained by YellowRoseCx in a separate fork.
+Unfortunately it does not properly support unpacking, which would greatly diminish its performance and provide a poor UX when used alongside this app.
+For Friendly Kobold to work with this fork, [this issue must be fixed first](https://github.com/YellowRoseCx/koboldcpp-rocm/issues/129).
+
+Note that this build is not important as modern day Vulkan matches or even surpasses ROCm in terms of LLM performance for most cases.
+
+### Future features
+
+Not all koboldcpp features have currently been ported over the UI. As a workaround one may use the "Additional arguments" on the "Advanced" tab of the launcher to provide additional command line arguments if you know them.
+
+## Installation
+
+### Pre-built Binaries (Recommended)
+
+Download the latest release for your platform from the [GitHub Releases page](https://github.com/lone-cloud/friendly-kobold/releases/latest):
+
+- **Windows**: `Friendly-Kobold-X.X.X.exe` (portable executable)
+- **macOS**: `Friendly-Kobold-X.X.X.dmg` (disk image)
+- **Linux**: `Friendly-Kobold-X.X.X.AppImage` (portable application)
+
+#### Linux - AppImage
+
+1. Download the `.AppImage` file
+2. Make it executable: `chmod +x Friendly-Kobold-X.X.X.AppImage`
+3. Run it: `./Friendly-Kobold-X.X.X.AppImage`
+
+#### Linux - AUR (Arch Linux)
+
+For Arch Linux users, install from the AUR using your preferred AUR helper:
+
+```bash
+# Using yay
+yay -S friendly-kobold
+
+# Using paru
+paru -S friendly-kobold
+
+# Manual installation
+git clone https://aur.archlinux.org/friendly-kobold.git
+cd friendly-kobold
+makepkg -si
+```
+
+The AUR package automatically handles installation, desktop integration, and system updates. This is the ideal way to run Friendly Kobold on Linux.
+
+## For Local Dev
 
 ### Prerequisites
 
@@ -38,18 +89,6 @@ A koboldcpp manager. <!-- markdownlint-disable MD033 -->
    yarn dev
    ```
 
-### Windows ROCm Support
-
-There is ROCm Windows support maintained by YellowRoseCx in a separate fork.
-Unfortunately it does not properly support unpacking, which would greatly diminish its performance and provide a poor UX when used alongside this app.
-For Friendly Kobold to work with this fork, [this issue must be fixed first](https://github.com/YellowRoseCx/koboldcpp-rocm/issues/129).
-
-Note that this build is not important as modern day Vulkan matches or even surpasses ROCm in terms of LLM performance for most cases.
-
-### Future features
-
-Not all koboldcpp features have currently been ported over the UI. As a workaround one may use the "Additional arguments" on the "Advanced" tab of the launcher to provide additional command line arguments if you know them.
-
 ### Future considerations
 
 It would make a lot of sense to transition this project to Tauri from Electron. The app size should drop from ~110MB to ~10MB; however, users on obsolete OSes (with outdated WebViews) will very likely encounter issues. In addition, I would need to learn Rust to rewrite the BE (Electron main code), but at least we can re-use all the React code. The app would be much smaller, faster and memory efficient, but not work for some users. I think it's a worthy tradeoff.

package.json

@@ -1,8 +1,8 @@
 {
   "name": "friendly-kobold",
   "productName": "Friendly Kobold",
-  "version": "0.5.3",
+  "version": "0.5.4",
-  "description": "A modern Electron shell for KoboldCpp",
+  "description": "A modern desktop app for running Large Language Models locally",
   "main": "out/main/index.js",
   "homepage": "./",
   "engines": {
@@ -41,10 +41,14 @@
     ]
   },
   "keywords": [
-    "electron",
+    "llm",
-    "koboldcpp",
     "ai",
-    "llm"
+    "local-ai",
+    "language-model",
+    "koboldcpp",
+    "electron",
+    "privacy",
+    "offline"
   ],
   "author": {
     "name": "lone-cloud",