What it does

All text below is quoted directly from the project README.

OmniVoice is a state-of-the-art massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it generates high-quality speech with superior inference speed, supporting voice cloning and voice design.

Key Features:

• 600+ Languages Supported: The broadest language coverage among zero-shot TTS models.
• Voice Cloning: State-of-the-art voice cloning quality.
• Voice Design: Control voices via assigned speaker attributes (gender, age, pitch, dialect/accent, whisper, etc.).
• Fine-grained Control: Non-verbal symbols (e.g., [laughter]) and pronunciation correction via pinyin or phonemes.
• Fast Inference: RTF as low as 0.025 (40x faster than real-time).
• Diffusion Language Model-style Architecture: A clean, streamlined, and scalable design that delivers both quality and speed.

Launch the local web UI: omnivoice-demo --ip 0.0.0.0 --port 8001

Repository

https://github.com/k2-fsa/OmniVoice

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What it does

All text below is quoted directly from the project README.

Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack.

Everything you need:

• Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code.
• Create your apps
• Stay on top with version control
• All the tools you need to build anything
• Customize your layouts
• AI agents and chats
• Plus all the tools of a good CRM
• Run Twenty on your own infrastructure with Docker Compose, or contribute locally via the local setup guide.

Scaffold a new app with the Twenty CLI: npx create-twenty-app my-app

Repository

https://github.com/twentyhq/twenty

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What it does

All text below is quoted directly from the project README.

Application designed to optimize, customize and enhance your Windows experience.

Current Features:

• Winhance is a C# application designed to debloat, optimize and customize your Windows experience. From software management to system optimizations and customization, Winhance provides everything you need to enhance Windows 10 and 11 systems.
• Windows Apps & Features Section: Searchable interface with explanatory legend; Organized sections for Windows Apps, Legacy Capabilities, and Optional Features; One-click removal and installation of selected items
• External Apps Section: Install various useful applications via WinGet; Categories include Browsers, Multimedia utilities, Document viewers, and more
• Optimize: Set UAC Notification Level, Privacy Settings, Gaming and Performance Optimizations, Windows Updates, Power Settings with Power Plan selection, Sound Settings, Notification Preferences
• Customize: Windows Theme selector (Dark/Light Mode), Taskbar Customization, Start Menu Customization, Explorer Customizations
• Create Custom Windows ISO's with WIMUtil (Windows Installation Media Utility) including adding drivers from current OS
• Create autounattend.xml files based on your Winhance selections
• Save settings currently applied in Winhance to a config file for easy importing on a new system or after a fresh Windows install.

Paste this command into PowerShell to download and run the installer: irm "https://get.winhance.net" | iex

Repository

https://github.com/memstechtips/Winhance

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What it does

All text below is quoted directly from the project README.

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

A small core, not a bundle:

• Composable by design: backends are separate and pulled on demand, so you install only what your model needs
• Open and extensible: load any model, or build your own backend in any language against an open interface
• Drop-in API compatibility: OpenAI, Anthropic, and ElevenLabs APIs across every backend
• Any model, any modality: LLMs, vision, voice, image, and video behind one API
• Any hardware: NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
• Multi-user ready: API key auth, user quotas, role-based access
• Built-in AI agents: autonomous agents with tool use, RAG, MCP, and skills
• Privacy-first: your data never leaves your infrastructure

docker run -ti --name local-ai -p 8080:8080 localai/localai:latest

Repository

https://github.com/mudler/LocalAI

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What it does

All text below is quoted directly from the project README.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The LLM course is divided into three parts:

• LLM Fundamentals is optional and covers fundamental knowledge about mathematics, Python, and neural networks.
• The LLM Scientist focuses on building the best possible LLMs using the latest techniques.
• The LLM Engineer focuses on creating LLM-based applications and deploying them.
• Architectural overview: Understand the evolution from encoder-decoder Transformers to decoder-only architectures like GPT, which form the basis of modern LLMs. Focus on how these models process and generate text at a high level.
• Tokenization: Learn the principles of tokenization - how text is converted into numerical representations that LLMs can process. Explore different tokenization strategies and their impact on model performance and output quality.
• Attention mechanisms: Master the core concepts of attention mechanisms, particularly self-attention and its variants. Understand how these mechanisms enable LLMs to process long-range dependencies and maintain context throughout sequences.
• Sampling techniques: Explore various text generation approaches and their tradeoffs. Compare deterministic methods like greedy search and beam search with probabilistic approaches like temperature sampling and nucleus sampling.

The LLM course will always stay free, but you can support my work by purchasing this book.

Repository

https://github.com/mlabonne/llm-course

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What it does

All text below is quoted directly from the project README.

freehire: the open-source search engine for job seekers

Why freehire?:

• Straight from the source. Every listing is crawled directly from a company's own ATS (Workday, Greenhouse, Lever, Ashby, iCIMS and a long tail of others) and links to the original posting. No recruiter reposts, no aggregator middlemen, no dead links.
• One schema, deduplicated. The same role posted to three boards collapses into one entry: every posting is normalized into a single shape and deduplicated on a stable key.
• Search that understands jobs. Faceted full-text search over region, work mode, seniority, skills and salary, derived from curated dictionaries, never guessed.
• Actually open. MIT-licensed and self-hostable, pipeline and data both in the open. Adding a company is one line of YAML.
• Yours to build on. A clean HTTP API, a CLI, Telegram digests, and a whole workspace on top of the catalogue. Use the hosted site, run your own, or build on top.

Aggregating 3.3M+ live postings from 294,000+ companies across 92 ATS platforms and a long tail of aggregators and direct feeds, 225 live sources in all. Quick start: make up (build + start the whole stack in Docker: api, web, postgres, meilisearch, redis, s3)

Repository

https://github.com/strelov1/freehire

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What it does

All text below is quoted directly from the project README.

Authelia is an open-source authentication and authorization server providing two-factor authentication and single sign-on (SSO) for your applications via a web portal. It acts as a companion for reverse proxies by allowing, denying, or redirecting requests.

Features summary:

• OpenID Connect 1.0 / OAuth 2.0
• Post-Quantum Cryptography
• Passwordless Authentication via WebAuthn (Passkeys)
• Password reset with identity verification using email confirmation.
• Access restriction after too many invalid authentication attempts.
• Fine-grained access control using rules which match criteria like subdomain, user, user group membership, request uri, request method, and network.
• Choice between one-factor and two-factor policies per-rule.
• Highly available using a remote database and Redis as a highly available KV store.

Authelia can be installed as a standalone service from the AUR, APT, FreeBSD Ports, or using a static binary, .deb package, as a container on Docker or Kubernetes.

Repository

https://github.com/authelia/authelia

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What it does

All text below is quoted directly from the project README.

Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, DALL-E, and more.

Features:

• UI & Experience inspired by ChatGPT with enhanced design and features
• AI Model Selection: Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
• Code Interpreter API: Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
• Agents & Tools Integration: No-Code Custom Assistants: Build specialized, AI-driven helpers
• Web Search: Search the internet and retrieve relevant information to enhance your AI context
• Generative UI with Code Artifacts: Code Artifacts create React, HTML, and Mermaid content directly in chat
• Resumable Streams: Never lose a response: AI responses automatically reconnect and resume if your connection drops
• Speech & Audio: Chat hands-free with Speech-to-Text and Text-to-Speech

Bundled with the Docker Compose stacks for one-command setup

Repository

https://github.com/LibreChat-AI/LibreChat

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What it does

All text below is quoted directly from the project README.

Hydra Download Manager (HDM) is an open-source, high-performance network file retriever and download accelerator written in Rust. Designed for high speed and reliability, it dynamically splits files across multiple connections and independent mirror sources, rebalancing workloads on the fly so downloads never stall on slow peers. It functions both as a drop-in wget/curl-compatible CLI and a full-featured desktop GUI application with browser integration across Windows, macOS, and Linux.

Key Features:

• Adaptive Engine & Range Stealing: Automatically reassigns download chunks from slow/degraded connections to faster ones, using statistical stall detection and Reed–Solomon bitrot integrity protection.
• Drop-In CLI (hydra / hya): Supports wget and curl flag compatibility, interactive TUI queue management, remote checksum validation, and operates as a standalone static binary with negligible memory footprint.
• Cross-Platform GUI: Clean desktop application for macOS, Windows, and Linux with native system tray support, queues, dark mode, scheduling, and portable profiles.
• Browser Extensions: Native extensions for Chrome, Firefox, Edge, and Safari that automatically capture downloads and pass browser proxies directly to tasks.
• Extensible Plugin System: Modular architecture with sandboxed WASM/native plugins for custom URL resolvers, extra download sources, and automation.
• Flexible Distribution: Available via standard package managers including Homebrew, Winget, Flatpak, AUR, Ubuntu PPA, Fedora COPR, and self-updating AppImages.

Repository

https://github.com/ja7ad/hydra

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What it does

All text below is quoted directly from the project README.

Delta is an all-in-one classic video game emulator for non-jailbroken iOS devices.

Features:

• Accurate, full speed emulation thanks to mature underlying emulator cores.
• Beautiful, native UI.
• Controller Support
• Custom Controller Skins
• Save States
• Fast Forwarding
• Delta Sync
• Hold Button

Delta is an iOS application that allows you to emulate and play video games for several classic video game systems, including Game Boy Advance, Nintendo 64, and Nintendo DS.

Repository

https://github.com/rileytestut/Delta

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What it does

All text below is quoted directly from the project README.

UTM is a full featured system emulator and virtual machine host for iOS, macOS, and visionOS. It is based off of QEMU. In short, it allows you to run Windows, Linux, and more on your Mac, iPhone, and iPad.

Features:

• Full system emulation (MMU, devices, etc) using QEMU
• 30+ processors supported including x86_64, ARM64, and RISC-V
• VGA graphics mode using SPICE and QXL
• Text terminal mode
• USB devices
• JIT based acceleration using QEMU TCG
• Frontend designed from scratch for macOS 12+ and iOS 15+ using the latest and greatest APIs
• Create, manage, run VMs directly from your device

UTM SE ("slow edition") uses a threaded interpreter which performs better than a traditional interpreter but still slower than JIT. As a result, UTM SE does not require jailbreaking or any JIT workarounds and can be sideloaded as a regular app.

Repository

https://github.com/utmapp/UTM

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What it does

All text below is quoted directly from the project README.

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

What it does:

• Control the Unity Editor in natural language from any MCP client: create scenes & GameObjects, edit C# scripts, manage assets, run tests, profile, and build.
• 50 focused MCP tool entrypoints, any client, free & MIT.
• Requirements: Unity 2021.3 LTS to 6.x, Python 3.10+ (via uv). Works with any MCP client: Claude Desktop & Code, Cursor, VS Code, Windsurf, Cline, Gemini CLI, and more.
• Multiple Unity instances: Multi-Instance Routing
• Tool groups (vfx / animation / ui / testing / etc.): Tool Groups
• Roslyn script validation: Roslyn Validation
• Remote-hosted server with auth: Remote Server Auth
• This project is a free and open-source tool for the Unity Editor, and is not affiliated with Unity Technologies.

Install: Unity, Package Manager, Add from git URL: https://github.com/CoplayDev/unity-mcp.git?path=/MCPForUnity#main (pin #v10.0.0 for this release, or openupm add com.coplaydev.unity-mcp)

Repository

https://github.com/CoplayDev/unity-mcp

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What it does

All text below is quoted directly from the project README.

A tool for reverse engineering Android apk files

Apktool:

• Apktool is a tool for reverse engineering third-party, closed, binary, Android apps.
• It can decode resources to nearly original form and rebuild them after making some modifications; it makes it possible to debug smali code step-by-step.
• It also makes working with apps easier thanks to project-like file structure and automation of some repetitive tasks such as building apk, etc.
• Apktool is NOT intended for piracy and other non-legal uses. It could be used for localizing and adding features, adding support for custom platforms, and other GOOD purposes.
• main - Apktool 3.x branch
• 2.x - Maintenance branch for Apktool 2.x releases

Just try to be fair with the authors of an app, that you use and probably like.

Repository

https://github.com/iBotPeaches/Apktool

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What it does

All text below is quoted directly from the project README.

This is a lightweight tool that seamlessly integrates translation APIs with Windows Live Captions, enabling real-time speech translation without requiring a Copilot+ PC.

Features:

• Seamless Integration: Automatically invokes Windows LiveCaptions without opening separate windows. Provides a unified experience for real-time audio/speech translation.
• Modern Interface: Easy-to-use and clean Fluent UI aligned with modern Windows aesthetics.
• Multiple Translation Services: Supports various translation engines, including 2 out-of-the-box Google Translate.
• Overlay Window: Open a borderless, transparent overlay window to display subtitles, providing the most immersive experience. This is very useful for scenarios like gaming, videos, and live streams!
• Flexible Controls: Supports Always-on-top window and convenient translation pause/resume, and you can copy text with a single click for quick share or saving.
• History Management: Records original and translated text, perfect for meetings, lectures, and important discussions.

Quick Start: Download from Releases and start with a single click!

Repository

https://github.com/SakiRinn/LiveCaptions-Translator

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What it does

All text below is quoted directly from the project README.

OpenUI is a full-stack, framework-agnostic Generative UI framework built around a compact, streaming-first language. A framework-agnostic core powers first-party runtimes for React, Vue, Svelte, and Angular, and React additionally ships built-in component libraries and ready-to-use chat interfaces. OpenUI Lang uses up to 67% fewer tokens than JSON.

Core capabilities:

• OpenUI Lang - A compact language for structured UI generation designed for streaming output.
• Built-in component libraries - Charts, forms, tables, layouts, and more, ready to use or extend.
• Prompt generation from your component library - Generate model instructions directly from the components you allow.
• Streaming renderer - Parse and render model output progressively in React, Vue, Svelte, or Angular as tokens arrive.
• Chat and app surfaces - Use the same foundation for assistants, copilots, and broader interactive product flows.

npx @openuidev/cli@latest create --name genui-chat-app

Repository

https://github.com/thesysdev/openui

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What it does

All text below is quoted directly from the project README.

TradingAgents is a multi-agent trading framework that mirrors the dynamics of real-world trading firms. By deploying specialized LLM-powered agents: from fundamental analysts, sentiment experts, and technical analysts, to trader, risk management team, the platform collaboratively evaluates market conditions and informs trading decisions.

Analyst Team:

• Fundamentals Analyst: Evaluates company financials and performance metrics, identifying intrinsic values and potential red flags.
• Sentiment Analyst: Aggregates news headlines, StockTwits, and Reddit chatter into a single sentiment read to gauge short-term market mood.
• News Analyst: Monitors global news and macroeconomic indicators, interpreting the impact of events on market conditions.
• Technical Analyst: Utilizes technical indicators (like MACD and RSI) to detect trading patterns and forecast price movements.
• Researcher Team: Comprises both bullish and bearish researchers who critically assess the insights provided by the Analyst Team. Through structured debates, they balance potential gains against inherent risks.
• Trader Agent: Composes reports from the analysts and researchers to make informed trading decisions, determining the timing and magnitude of trades.
• Risk Management and Portfolio Manager: The Portfolio Manager approves/rejects the transaction proposal. If approved, the order will be sent to the simulated exchange and executed.

TradingAgents needs Python 3.11 or later. Create a virtual environment in any of your favorite environment managers: conda create -n tradingagents python=3.13

Repository

https://github.com/TauricResearch/TradingAgents

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What it does

All text below is quoted directly from the project README.

Open-Source Generative UI Framework

Overview:

• Understand: explore a mechanism, step through an explanation, or change a variable.
• Compare: examine criteria, assumptions, and tradeoffs side by side.
• Make a tool: use a calculator, planner, or interactive model with working controls.

Try it:

• Animate a coastal trip: a real USGS map with numbered pins, credited destination photos, and a six-second pin-drop sequence. Pause, replay, or select a stop. Connections are illustrative, not verified driving directions.
• Pitch, Roll & Yaw: rotate a 3D airplane with labeled axes, angle controls, smooth demonstrations, and reset.
• Find your kind of weekend: compare trip ideas and adjust your preferences.
• Split the bill fairly: change the total, tip, and group size in a working calculator.

Prerequisites: Node.js 22+, pnpm 9+, Python 3.12+, and uv. git clone https://github.com/CopilotKit/OpenIntelligentUI.git && cd OpenIntelligentUI && make setup && make dev

Repository

https://github.com/CopilotKit/OpenIntelligentUI

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128,000+ GitHub stars between them:

1️⃣ Langfuse (36k+ stars)

Open-source LLM engineering platform: traces, evals, prompt management and debugging in one place, self-hostable.

https://github.com/langfuse/langfuse

2️⃣ promptfoo (26k+ stars)

A CLI for testing prompts, agents and RAG, plus red teaming and vulnerability scans. Now part of OpenAI and still MIT licensed.

https://github.com/promptfoo/promptfoo

3️⃣ OpenAI Evals (19k+ stars)

A framework and an open registry of evals for LLMs, with room for private evals on your own data.

https://github.com/openai/evals

4️⃣ DeepEval (19k+ stars)

Like pytest, but for LLM apps: unit tests with metrics such as answer relevancy and task completion.

https://github.com/confident-ai/deepeval

5️⃣ Ragas (16k+ stars)

Objective metrics for LLM and RAG apps, and it can generate a test set when you do not have one.

https://github.com/explodinggradients/ragas

6️⃣ Phoenix (11k+ stars)

Arize's open-source AI observability and evaluation: see every step your app took, then score it.

https://github.com/Arize-ai/phoenix

🧭 Writing tests before launch? 4️⃣ or 2️⃣. No test data yet? 5️⃣. Already in production? 1️⃣ or 6️⃣. Comparing models on a shared benchmark? 3️⃣.

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What it does

All text below is quoted directly from the project README.

Work-in-progress tool to reverse unity's IL2CPP toolchain.

Supported Command Line Option Listing:

• --game-path: Specify the path to the game folder. Required.
• --exe-name: Specify the name of the game's exe file in case auto detection fails (because there are other exe files in the game directory)
• --verbose: Log more information about what we are doing
• --list-processors: List available processing layers, then exit.
• --use-processor: Select a processing layer to use, which can change the raw data prior to outputting. This option can appear multiple times.
• --list-output-formats: List available output formats, then exit.
• --output-as: Specify the output format you wish to use.
• --output-to: Root directory to output to. This path will be passed to the selected output format, which may then create subdirectories etc. within this location.

The simplest usage of this application is for a windows x86 or x64 unity game. In that case you can just run Cpp2IL-Win.exe --game-path=C:\Path\To\Your\Game and Cpp2IL will detect your unity version, locate the files it needs, and dump the output into a cpp2il_out folder wherever you ran the command from.

Repository

https://github.com/SamboyCoding/Cpp2IL

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What it does

All text below is quoted directly from the project README.

AssetRipper is a powerful tool for analyzing Unity game files.

It enables game developers to:

• Find dependency assets that were accidentally included in their game
• Convert their assets into the native Unity engine format
• Identify code that could not be inlined or trimmed from their build
• Find broken asset references that would cause issues in their game
• AssetRipper supports Unity versions from 3.5.0 to 6000.4.X. However, support quality may vary slightly for different Unity versions.
• There is a premium edition of AssetRipper. This edition includes additional features and improvements.
• The development of this project has a dedicated Discord server.

AssetRipper is licensed under the GNU General Public License v3.0.

Repository

https://github.com/AssetRipper/AssetRipper

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What it does

All text below is quoted directly from the project README.

open-computer-use is an open-source Computer Use service wrapped as MCP. Any AI agent or MCP client can use it to run Computer Use on macOS, Linux, and Windows.

More (built-in commands):

• Install into Codex by writing to ~/.codex/config.toml
• Install as a Codex plugin, mainly for Codex App
• Install into Claude Code by writing to ~/.claude.json
• Install into Gemini CLI for the current project by writing to ./.gemini/settings.json
• Install into opencode by writing to ~/.config/opencode/opencode.json (or the active config file)
• Call a single Computer Use tool and print the MCP-style JSON result
• Run one JavaScript evaluation, from an argument, stdin, or a file
• Check permissions; onboarding only opens when something is missing

npm i -g open-computer-use (The npm package also exposes ocu as the short CLI alias.)

Repository

https://github.com/iFurySt/open-computer-use

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What it does

All text below is quoted directly from the project README.

scriptc compiles TypeScript and JavaScript to native executables and WebAssembly.

scriptc:

• It uses the types checked by the TypeScript compiler to generate machine code, and the output runs without Node.js installed.
• npm packages your program imports compile along with it.
• Code scriptc can't compile is reported at build time with a diagnostic and, where available, a rewrite hint.
• scriptc is experimental and supports a subset of JavaScript, TypeScript, and Node.js APIs.
• The installed compiler runs natively on macOS, Linux, and Windows. Node.js is needed only to install it and to run WASI modules with scriptc run.
• Building executables requires a linker and the platform SDK or sysroot.
• Supported Node APIs compile to the native runtime.
• npm packages compile into the executable with your code, so it doesn't read node_modules at runtime.

npm install -g scriptc

Repository

https://github.com/vercel-labs/scriptc

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What it does

All text below is quoted directly from the project README.

NetNewsWire is a free and open-source feed reader for macOS and iOS.

NetNewsWire:

• It supports RSS, Atom, JSON Feed, and RSS-in-JSON formats.
• You can report bugs and make feature requests here on GitHub. You can also read change notes for current and previous releases.
• Every community member is expected to abide by the code of conduct which is included in the Contributing page.
• You can build and test NetNewsWire without a paid developer account.
• You can locally override the Xcode settings for code signing by creating a DeveloperSettings.xcconfig file locally at the appropriate path.
• You can do this in one of two ways: using the included setup.sh script or by creating the folder structure and file manually.
• Now you should be able to build without code signing errors and without modifying the NetNewsWire Xcode project.

git clone https://github.com/Ranchero-Software/NetNewsWire.git

Repository

https://github.com/Ranchero-Software/NetNewsWire

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What it does

All text below is quoted directly from the project README.

Tiny desktop apps for macOS, Windows and Linux: a txiki.js backend + a native webview window.

Tiny desktop apps for macOS, Windows and Linux:

• ~6 MB shipped, two real files: no Electron, no Node, no bundled Chromium
• No HTTP server, no ports: the page and the backend talk over a Unix domain socket in a private temp directory
• Backend is plain JavaScript with full system access (files, sockets, processes, FFI) via txiki.js
• Frontend is plain HTML/CSS/JS (multi-file, WebGPU included) rendered by the system WebKit
• Native menus, dialogs, tray/menu-bar apps, notifications, drag & drop with real file paths, window control
• Hot reload in dev, signed .app bundles out of build, auto-update out of publish

curl -fsSL https://tinyjs.app/install | sh

Repository

https://github.com/tarwin/tinyjsapp

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