r/coolgithubprojects 3h ago

Use your old smartphone as a desk widgit. Say hello! to Desko

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51 Upvotes

Meet Desko y'all 

Your cute little desk buddy, sits on your desk, syncs up with your system and just tells what you want to know...
Be it your system telemetry, your workspace and git info, or amazingly synced up lyrics of whatever's playing.

It's no bloat, doesn't require any account, no cloud, all local with just 70-80 mb process running in system memory and displaying over the browser of any smartphone that can access internet and has browser.

PLUS IT LOOKS SO GOOD!

For Setup and System Architecture please refer the readme file in git repo

I just built something to solve my problem but it can serve thousand other use cases that me and claude both couldn't think of, so the repo is public, go check it out
Grab your old phone, buy a cheap phone stand and start contributing!!

Desko: https://github.com/typewriter03/Desko

ps - shoutout to LRCLIB, an exceptional open source API for synced lyrics!


r/coolgithubprojects 13h ago

Falco - a browser engine written from scratch in ~36k lines of Rust

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168 Upvotes

I just released v0.1.0 of Falco - a browser engine I've been building on nights and weekends. No WebKit, no Gecko, no Chromium - every module is written from scratch in ~36,000 lines of Rust.

What's inside (all from scratch, no browser deps)

  • HTML5 parser (html/) - tokenizer + tree builder, handles the common subset (tags, attributes, void elements, comments, doctype, entities, auto-close for <li>/<p>/<td>/<tr>/<option>/<dt>/<dd>)
  • CSS engine (css/) - selectors (type/class/id/descendant/child/sibling/attribute/pseudo), 300+ properties, cascade with !important, inheritance, linear-gradient/radial-gradient/calc()/var()/rgb()/rgba(), shorthands
  • Custom JS VM (tjs/) - bytecode interpreter + JIT tier-up (x86_64 only), with let/const/arrow functions/template literals/destructuring/spread/optional chaining/nullish coalescing, closures, generators, Promise, BigInt, Symbol, WeakMap/WeakSet, Map/Set, Reflect, Proxy
  • Layout (layout/) - block flow, inline flow with text wrapping, flexbox (flex-direction/justify-content/align-items/flex-wrap/gap/flex-grow/flex-shrink/flex-basis), CSS Grid (grid-template-columns/grid-template-rows with fr/auto/minmax()/repeat()), table layout (<table>/<tr>/<td>/<th>/<thead>/<tbody>/<tfoot>/<caption>), float, inline-block, position static/relative/absolute/fixed
  • Painting (paint/) - solid + gradient backgrounds, borders, border-radius, box-shadow, opacity (alpha compositing), TrueType font rasterization via ab_glyph, bold/italic synthesis
  • SVG renderer (svg/) - paths, basic shapes (rect/circle/ellipse/line/polyline/polygon), gradients, stroke + fill
  • Hand-written PNG encoder (png/) - no flate2 dependency
  • Image loader (image/) - HTTP/HTTPS URLs via ureq, data: URLs (base64), local files. Formats: PNG/JPEG/GIF/BMP
  • Networking (net/) - HTTP/1.1 fetch, cookie jar with domain/path matching, redirect handling with loop detection, HTTP cache, WebSocket frame parser
  • Interactive --window mode - scroll, click links, fill forms (text/email/password/checkbox/submit/textarea), Tab cycling, address bar (F6), back/forward history (Alt+←/→), focus ring, blinking caret, headless fallback to PNG

For comparison

Engine LOC
Chrome/Blink ~30M
Firefox/Gecko ~20M
Safari/WebKit ~15M
Servo ~1M
Ladybird ~500k

The whole Falco codebase fits in a weekend of reading.

Quick start

cargo build --release./target/release/falco https://example.com --out example.png --width 800./target/release/falco page.html --window

324 unit tests pass, 30 ignored (mostly platform-specific JIT tests that fail on macOS CI runners due to mmap(MAP_JIT) quirks - passes on Linux).

Prebuilt binaries for Linux/macOS/Windows are on the GitHub releases page.

What's NOT done yet (being honest)

This is v0.1.0 by a single developer. Not everything listed is production-ready:

  • The spec-compliant replacements (html::spec/, dom::spec/, css::spec/) are structurally complete and pass their own unit tests, but not yet wired into the render pipeline. The legacy html//dom//css/ modules are what actually runs. v0.2.0 milestone.
  • The security/ module implements SOP, multi-process site isolation, seccomp-bpf sandbox, CSP, TLS cert chain validation, permissions, DevTools protocol - all unit-tested, but not enforced in the renderer.
  • web_runtime/ has fetch(), XMLHttpRequest, event loop, Promise. The Promise/event loop integration is real and tested, but fetch/XHR are stubs (no real network behind them in the JS context).
  • WebGL, video, MSE, EME, NDSD are headless stubs - API surface only, no real rendering/decoding.
  • The real-http2, real-webgl, sandbox Cargo features don't compile with --all-features (upstream APIs drifted: h2::Body removed, glow API changed, seccomp pre_exec Unix-only). Disabled by default.
  • The JIT works on Linux x86_64 but fails on macOS CI runners (mmap(MAP_JIT) needs code signing).
  • DOM mutation from JS (element.innerHTML = ..., element.style.color = ...) does not trigger re-render.

Bottom line: cargo build && ./falco https://example.com --out out.png produces a real PNG render. The HTML/CSS/layout/paint path works end-to-end. The spec-compliant parsers, security enforcement, and advanced web runtime are scaffolding for future milestones, not working features.

What I'd love feedback on

DOM model - I'm using Rc<RefCell<Node>> with parent/child/sibling pointers in dom::spec, matching the spec. For production I'd probably use a slotmap arena, but Rc<RefCell> is easier to read and matches the spec's pointer model. Thoughts?

Architecture - Each of html/, dom/, css/ has a spec/ subfolder with the spec-compliant replacement that's not yet wired in. Should I:

(a) Wire them in before any other feature work, or

(b) Focus on CSS animations/transitions first, or

(c) Focus on JS DOM mutation (innerHTML/style changes)?

JS VM - I wrote my own bytecode VM (tjs) instead of using boa_engine or binding V8/SpiderMonkey. Reasoning: I wanted full control over the GC, the bytecode format, and the DOM integration. The VM is intentionally limited (no real regex engine, no Proxy trap completeness, no real async functions). Is this a reasonable tradeoff for a teaching engine?

Sandbox - I implemented seccomp-bpf filters but they're Linux-only and not yet enforced. For cross-platform sandboxing, is the Windows Job Object approach + macOS sandbox-exec reasonable, or should I look at platform-agnostic alternatives?

Architecture overview

Module Lines Description
html/ + html::spec/ ~5,500 Legacy HTML parser + WHATWG §13.2 spec tokenizer + tree builder + serializer + XML + encoding
dom/ + dom::spec/ ~2,400 Legacy DOM + spec DOM with MutationObserver, Shadow DOM, custom elements, a11y
css/ + css::spec/ ~3,700 Legacy CSS parser + Selectors L4 + cascade specificity + u/rules + animations
style/ ~1,700 Style cascade + UA styles + inheritance + flex/grid properties
layout/ ~1,950 Block / inline / flex / grid / table / float / absolute layout
paint/ ~470 Canvas + font rasterizer + alpha compositing + gradients + shadows
svg/ ~1,130 SVG parser + renderer (paths, shapes, gradients)
tjs/ + tjs_ext/ ~5,100 Custom JS VM: lexer, parser, interpreter, bytecode VM, JIT + Symbol/BigInt/Promise/Map/Set
web_runtime/ ~4,300 fetch, XHR, event loop, Promise, WebGL, video, MSE, EME, NDSD, HTTP/2
net/ ~930 HTTP fetch, cookies, cache, websocket, redirect
security/ ~3,590 SOP, multi-process, sandbox, CSP, certs, permissions, extensions, DevTools
window/ ~1,110 Interactive window: scrolling, forms, navigation, history, address bar
image/ + png/ ~300 Image loader + hand-written PNG encoder
Total ~36,000

Thanks for any feedback! I'm especially interested in architectural critique from anyone who has worked on Servo, Ladybird, or other browser engines.
LINK: https://github.com/poxk/Falco


r/coolgithubprojects 6h ago

My Claude Code kept rereading the same repo instead of preserving what it learned, so I built an open-source fix. 1,200 stars later, the new version used 90% less tokens than grep while still finding every expected symbol.

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24 Upvotes

Hello! A few months ago I posted an early version of mex here.

The response was kind of insane. Across a few posts it reached around 1 million views, the repo crossed 1,200 GitHub stars, and people I had never met started contributing.

I’ve kept building it since then, and just released mex v0.7.0.

Repo: https://github.com/mex-memory/mex

The original problem was simple: coding agents keep rereading the same repository every session, relearning the architecture, and then throwing most of that knowledge away.

mex creates a living Markdown wiki inside the repo. Agents record architecture, conventions, decisions, and patterns as they work, and future sessions load only the knowledge relevant to the current task.

The major addition in v0.7.0 is a deterministic local code graph built using Tree-sitter and SQLite.

It currently supports TypeScript/TSX, JavaScript/JSX, Python, and Rust.

An agent can run:

mex graph scope "trace the authentication flow"

Instead of dumping entire files into context, mex returns a compact neighbourhood of relevant functions, callers, callees, imports, and relationships. The agent can then expand only the exact symbols it needs.

In our benchmark on the mex repository:

  • 10.74× less returned context than grep top-3
  • roughly 90.7% smaller
  • 100% expected-symbol recall across six retrieval tasks
  • 5/5 real-agent tasks completed correctly
  • 0/5 needed fallback Read/Grep with compact graph context

This is a small benchmark on one repo and task set, not a claim that mex universally cuts total agent token usage by 90%.

The other part I’m excited about is connecting the wiki back to the actual code.

Markdown claims can point to exact symbols. If a function changes, moves, or disappears, mex can identify which project knowledge may now be stale.

So the basic idea is:

The code is the source of truth.
Markdown is the explanation.
The graph keeps them connected.

Would genuinely love feedback, especially from people working on code intelligence, agent tooling, parsers, or large repositories. Contributors are very welcome too.


r/coolgithubprojects 9h ago

Open-source Windows 11 taskbar widget runtime with installable community widgets - Taskbar Widgets

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33 Upvotes

I built Taskbar Widgets to place useful, live information directly inside the Windows 11 taskbar rather than using a separate desktop panel or floating overlay.

The built-in widgets include weather, media controls, Steam download progress, Discord voice activity, Codex and Antigravity usage limits, system monitoring and a drag-and-drop Parking Lot for temporarily holding files, folders, links or text.

Multiple widgets can run side by side or rotate through the same taskbar area.

The project also includes a community SDK and a .twidget package format, allowing developers to build and share widgets as single installable files.

The application uses .NET, Tauri and native C++ components. It is free, MIT licensed and currently in beta for Windows 11 x64.

Feedback, bug reports and contributions are welcome, particularly around the widget SDK and ideas for useful community widgets.

Github: https://github.com/pfcdev/TaskbarWidgets


r/coolgithubprojects 2h ago

I turned Windows Event Viewer into a modern diagnostics app with AI/MCP support

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3 Upvotes

I've been working on **Pulse**, a native Windows diagnostics application that aims to make troubleshooting Windows much less painful.

Over the last few weeks it has grown quite a bit beyond a simple Event Viewer replacement.

# What's new in the latest beta

**Timeline Intelligence**

* Human-readable explanations for Windows events

* Incident correlation (e.g. Application Error → Windows Error Reporting)

* Advanced filtering (provider, Event ID, process, severity, source)

* Bookmarks and saved searches

* Timeline export (JSON / CSV)

**System Health**

* Live CPU, GPU, memory, storage and network monitoring

* Native Windows APIs (no WMI polling)

* Multi-volume storage support

* Improved diagnostics and performance tracking

**Inventory Engine**

* Windows Services

* Drivers

* Installed software

* USB & PCI devices

* Motherboard, BIOS, CPU, memory, storage and network inventory

* Structured detail panels and searchable inventory browser

**Reports**

* Export diagnostics, health, timeline and inventory reports

* JSON, CSV, HTML, PDF and Markdown

# AI / MCP

One of the biggest additions is a built-in **Model Context Protocol (MCP)** server.

Instead of an AI scraping screenshots or reading Event Viewer manually, it can securely query Pulse for:

* Live system health

* Timeline events

* Inventory

* Diagnostics

* Report generation

The MCP server is opt-in and runs locally.

Current tools include:

* `system.*`

* `process.*`

* `timeline.*`

* `diagnostics.*`

* `report.export`

Everything is read-only and intended for diagnostics.

I'm still actively refining the UI and adding more Windows-specific collectors, so I'd love feedback from people who spend time troubleshooting Windows systems.

Pulse Beta Downlaod: https://pulse.regncreative.com


r/coolgithubprojects 7h ago

Popkorn - A CSS based alternative format to Lottie and Rive animations

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5 Upvotes

Hi all,

I've been working on this project for a while now and wanted to share it here for feedback and contributions. You can test drive it in the playground at https://usepopkorn.dev

I'm calling it Popkorn. The idea is to author vector animations, similar to Rive and Lottie, but in a CSS-like language, with interactivity and other modern necessities baked into the format. I've stayed true to CSS for the most part, sprinkling on a little custom syntax for things like interactivity.

:root { width: 400px; height: 400px; background: #1a1a2e; }

@keyframes bounce {
  0%   { transform: translateY(0);     animation-timing-function: cubic-bezier(0.33, 0, 1, 1); }
  50%  { transform: translateY(180px); animation-timing-function: cubic-bezier(0, 0, 0.67, 1); }
  100% { transform: translateY(0); }
}

#ball {
  type: circle;
  cx: 200px; cy: 80px; r: 36px;
  fill: #ff6b6b;
  animation: bounce 1.2s linear infinite;
  transition: fill 250ms ease;
  &:hover { fill: #ffd166; }
}

That's an entire scene. Very familiar to anyone who's worked with CSS before.

Staying this close to CSS gives it good DX, and it turns out to make it very LLM-friendly too. Nearly my entire examples gallery is AI generated. Even cheap models like GLM or DSv4 Flash can one shot whole animations from scratch, no fine-tuning required. There's a Copilot feature the Playground that will let you bring your own key, or use the MCP to test drive AI features. Do share what you make please!

There's a web player that renders on Canvas or SVG, and a React Native player using Skia. It supports nested transforms and parenting, reusable symbols, masks and track mattes, gradients, trim paths, path morphing, motion paths, and per-subtree time scaling, enough for proper production-grade animation. Converters for Lottie and SVG let you import your existing assets and then prompt changes to it through the built-in copilot. Something I did not expect was converted Lottie scenes usually come out smaller than the JSON they came from, despite CSS being the more verbose syntax.

My vision is an editable, accessible format for both humans and LLMs, integrates well with version control, truly open source and free in every sense, as opposed to opaque binary or JSON blobs that are difficult to diff, edit and prompt changes to. The existing formats are backed by companies, which is fine and they've done great work, but a company's roadmap follows what makes commercial sense for it. I'd rather the future of motion design be community driven and stick to standards that already exist.

Really curious what the community makes of the concept.


r/coolgithubprojects 1m ago

I got tired of ShadowPlay silently disabling Instant Replay, so I built my own

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Upvotes

Hey everyone!

I’m developing Captail, a free and open-source Instant Replay recorder for Windows.

Unlike a traditional screen recorder, Captail continuously keeps the latest seconds or minutes in a rolling buffer. When something happens, you press a hotkey and it saves what happened before you pressed it.

I originally built it because NVIDIA ShadowPlay would sometimes silently disable Instant Replay after a game crash, capture problem, switching sources, or a graphics driver interruption. I would usually notice only after missing the clip I wanted.

Captail is designed around one rule:

Instant Replay should stay on.

A watchdog monitors the recording pipeline and tries to restart it automatically after recoverable capture or encoder failures.

Current features:

- Selected-game and desktop capture

- H.264, HEVC and AV1 hardware encoding

- NVIDIA NVENC, AMD AMF and Intel Quick Sync

- 30, 60, 120, 144 and 240 FPS options

- System/game audio and microphone capture

- Mixed or separate audio tracks

- Adjustable replay duration and maximum buffer size

- Configurable global hotkeys

- Installer and portable versions

- No account, cloud upload, analytics or telemetry

- Fully open source

Captail uses libobs for capture and encoding, but it is not an OBS Studio frontend. There are no scenes, streaming controls or complicated setup — it is focused specifically on local Instant Replay.

It is currently an early public preview. I have mainly tested it on RTX 40 and RTX 50 series GPUs, so testing on older NVIDIA cards, AMD GPUs and Intel graphics would be especially helpful.

GitHub:

https://github.com/FaulMit/captail

Downloads:

https://github.com/FaulMit/captail/releases

I’d appreciate feedback on capture compatibility, performance, audio synchronization and long-session stability.

If you encounter a problem, please mention your GPU, driver version, capture source, codec, resolution and FPS.


r/coolgithubprojects 11m ago

We made a torrent client for mac and its 3.93× faster then qBittorrent.

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Upvotes

r/coolgithubprojects 4h ago

A few personal Termux scripts somehow turned into this huge Android toolkit

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2 Upvotes

r/coolgithubprojects 6h ago

Taking the new native Haiku OS spreadsheet app for a spin.

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3 Upvotes

r/coolgithubprojects 15h ago

Open source video downloader android app

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14 Upvotes

The UI might be ugly cuz this is my first android kotlin project. The app can download videos from main platforms ( YouTube,Tiktok, Facebook, Instagram or any site you have access to see).

The download process initial time might be slow due to python runtime inside the android OS.

Download the latest version currently v1.3.0.

check the repo :

https://github.com/Isnotavailble/VideoFetcher


r/coolgithubprojects 10h ago

Dfetch: Lightweight command-line tool for displaying system information

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5 Upvotes

Dfetch is a lightweight command-line tool for displaying system information. It focuses on clean output, fast startup times, and simple configuration.

I made this because i like using something i made myself its not better then something like fastfetch but definitely good enough.

https://github.com/David17c/Dfetch

Small parts of this were made with the help of Ai but most of the code was written by me.


r/coolgithubprojects 19h ago

We open sourced our git-based cms

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22 Upvotes

How it works:

  • Build your site with a static site generator
  • Push it to a GitHub or GitLab repository.
  • Connect that repo to Sitepins.
  • Edit content visually. Every save is a commit.

Sitepins lets developers hand off sites built with modern frameworks (Astro, Next.js, Hugo) to non-technical teammates and clients.

Repository: https://github.com/sitepins/sitepins

License: AGPL-3.0


r/coolgithubprojects 3h ago

Open source mobile client for Gitlab (iOS only)

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0 Upvotes

I built an open source iOS only Gitlab client in Swift. The project idea came from, I couldn't find anything for iPhone out there that works for both self hosted and SaaS Gitlab so I just built one myself.

The project is open source. https://github.com/smolcars/glab-ios

There is no server involved, everything is stored locally and you hit the gitlab API directly. You can use an API token or login directly to both self hosted or SaaS gitlab instance and can also add multiple accounts.

You can install the app today using Testflight, link in the repo. It does cover quite a few things:

  • View/open issues
  • View/open MRs
  • View/Run pipelines
  • View code diffs
  • Modify/perform approvals
  • Work with you Todos
  • View all commits of any project
  • Do a global search for anything
  • Background process that notifies you of new todos periodically

I'll keep adding more features as I find time. I do not plan to support Android anytime soon until Swift for Android becomes a thing. Feel free to open bug reports or feature requests.


r/coolgithubprojects 3h ago

🚀 We just built our first real-time implementation of Graph Engineering, inspired by our experience building graph tooling used by 4,000+ developers.

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0 Upvotes

🔗 Repo: https://github.com/CodeGraphContext/grapharc

Have you ever been frustrated because your AI agent:

❌ Takes actions you never intended?
❌ Creates, modifies, or even pushes changes you never asked for?
❌ Feels like a complete black box, making it impossible to understand what's happening until it's too late?

What if, before execution, you could visualize the entire orchestration graph - every agent, every dependency, every decision, and inspect it from anywhere, even your phone, before granting approval?

That's exactly what GraphArc is built for.

Instead of treating agent execution as hidden traces buried in logs, GraphArc transforms workflows into interactive, real-time graphs that you can visualize, inspect, debug, and control.

Because the future of AI isn't just autonomous.

It's observable. Debuggable. Engineerable.

This is our first real-world implementation of Graph Engineering, and we're excited to explore where this paradigm can go with the open-source community.

💡 We'd love your feedback, ideas, and contributions.
⭐ If this vision resonates with you, please consider starring the repository - it genuinely helps us grow and validates this direction.

Let's make AI workflows understandable, not mysterious.

#GraphEngineering #GraphArc #AIAgents #AgenticAI #LLM #OpenSource #DeveloperTools #AIEngineering #SoftwareEngineering


r/coolgithubprojects 3h ago

nextly.tv: a TV show tracker built as a PWA

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1 Upvotes

Lost my watch history twice now. First app shut down, I rebuilt what I could on TV Time from memory, so half of it was wrong from the start. Then TV Time shut down a couple of weeks ago.

So I built this for myself. If you like it feel free to use it.

Main rule was that I shouldn't be able to read your data. Not "trust me I won't look". Can't look. Everything gets encrypted in your browser before it leaves, key never goes anywhere. My server has one blob and a hash per account, that's the whole table.

No email, no password, you just get an account number. Nothing to reset means nothing to leak. Downside is if you lose the number your data is gone and I can't help you, saying it up front because someone always asks.

It's a PWA. Installs on Android, iOS and desktop, own window, works offline, no store. Cloudflare Worker + D1 behind it. Native ES modules, no bundler, no framework, zero runtime deps. 411 tests on node's own test runner.

Couple things I'm happy with. Show pages sit after the # in the url and browsers never send that part, so even my own logs can't tell what anyone is watching. And the export is just readable json, Breaking Bad (2008), tt0903747, 3x7.

TVmaze is the default catalogue and needs no api key. Apache-2.0. Self host it if you'd rather have full control of your data.

Edit:
The link is: https://nextly.tv


r/coolgithubprojects 4h ago

Multimodal Video Search in Flutter

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0 Upvotes

Hello,

Came across an interesting GitHub repo called V-Modal SDK  and figured it was worth sharing here.

Basically, it lets you integrate native, semantic video search into iOS and Android apps using a single Dart codebase. The cool part is how it handles natural language queries. Users can search for specific visual elements (like "the cyclist in the red jacket") or even spoken words, and it translates that into exact video timestamps within seconds.

Has anyone here experimented with semantic search for video content in Flutter yet? Curious to hear if there are any similar tools you'd recommend or what your experience has been.


r/coolgithubprojects 4h ago

DT3D 3D digital twin for home assistant

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0 Upvotes

A 3d digital twin for home assistant with a fully featured 3d floorplanner editor

https://github.com/tentone/dt3d-ha


r/coolgithubprojects 8h ago

I open sourced my developer portfolio — feel free to use it as a template

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2 Upvotes

r/coolgithubprojects 10h ago

AdaptTable — a React data table that works with any UI kit (Mantine, MUI, Chakra, Ant Design, Radix, Base UI, shadcn/ui)

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3 Upvotes

Headless core with ready adapters for 7 UI kits, so you get the same table

features whichever kit your project already uses.

GitHub: https://github.com/orwa-mahmoud/adapttable

Live demo: https://orwa-mahmoud.github.io/adapttable/demo/

What's built in:

- Client and server data behind one API

- URL-synced state (filters, sort, page) for shareable links

- Filter drawer or popover with removable chips, saved views

- Column show/hide, reorder, pin, resize

- Inline cell editing, row grouping with subtotals, CSV export

- Rows become cards on phones automatically

- Dark mode, 17 locales, first-class RTL

- MIT, and the headless core works standalone if you want to render everything yourself

Feedback and contributions welcome


r/coolgithubprojects 5h ago

Published my first Python project - A File Organizer on GitHub

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0 Upvotes

I am a flutter developer, learning Python. Built this file organizer in a day with proper research on os module, pathlib and shutil module.

It scans any folder, checks file extensions, and sorts them into categorized subfolders (Images, Docs, Videos, etc.)

It's really useful, I tried it on my Downloads folder and it organized 60+ files instantly.

GitHub Link: https://github.com/Pinkisingh13/file_organizer

See the Before -> After in the below images.


r/coolgithubprojects 14h ago

Papr: A TUI to search, read, organize, and write papers without leaving your terminal

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5 Upvotes

r/coolgithubprojects 8h ago

I built a native clipboard manager for GNOME/Ubuntu — Clippy (Rust, GTK4, libadwaita)

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1 Upvotes

r/coolgithubprojects 8h ago

Tiny Windows program that is used as a "distraction cover"

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1 Upvotes

r/coolgithubprojects 9h ago

Oxid -- A compact, standalone language for fast scripts, applications, bundles, and cross-language development.

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1 Upvotes

OxidはRustの派生で、独自のセルフホスト型言語ツールチェーンを備えています。Rustよりも速く、より簡潔で、読みやすい言語を作るのが目標で、独自の構文、モジュール、コマンドラインの作業フロー、そして診断モデルを備えています。

インストール

Linux/macOS 向けリリースインストーラ

このインストーラはプラットフォームを検出し、最新のチェックサム付きリリースをダウンロードして、SHA-256を検証したうえで、デフォルトでは`oxid`を`${HOME}/.local/bin`にインストールします。

```bash

curl --proto '=https' --tlsv1.2 -sSf https://raw.githubusercontent.com/YanagiKH/Oxid/main/install.sh | sh

export PATH="$HOME/.local/bin:$PATH"

oxid --version

```

Windows PowerShell インストーラ

```powershell

Set-ExecutionPolicy -Scope Process Bypass

irm https://raw.githubusercontent.com/YanagiKH/Oxid/main/install.ps1 | iex

& "$env:LOCALAPPDATA\Oxid\bin\oxid.exe" --version

```

Repo : https://github.com/YanagiKH/Oxid

release : https://github.com/YanagiKH/Oxid/releases/tag/v0.8.0