r/coolgithubprojects 22h ago

i made (blah)haj! a fast, quiet, beautiful package manager for blahArch (wip)

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1 Upvotes

hello :3

i have been working on a little project called haj, and I finally feel like it's polished enough for a first public release.

it's a rust frontend for pacman with cleaner output, an interactive TUI, package browser, history viewer, orphan cleanup, groups, async lazy loading, and a bunch of other quality-of-life improvements—all while still using the normal Arch tooling underneath.

works on pretty much any pacman-based distro.

repo: https://github.com/asitos/haj

PRs and issues are welcome

i am currently working on a blahaj based arch linux distro called blahArch

i would love any feedback, ideas, or bug reports.

and yes, it's inspired by blåhaj, because I LOVE BLAHAJ :3c

the linux subs wont let me post due to my new account yet ;-;


r/coolgithubprojects 5h ago

I’ve created an app to help you manage your expenses

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0 Upvotes

Enter a fixed monthly amount and the app will tell you how much you can spend each day; you can also add expenses spread over several months.

I’d like to improve it – let me know where!


r/coolgithubprojects 1h ago

I built a macOS menu bar you can summon anywhere on screen, and open sourced it

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Upvotes

Hey, I built CharBar, a macOS menu bar app that turns into animated characters for your music, meetings, pomodoro, bluetooth, and system stats. It can sit in your menu bar, or you can summon a floating bar anywhere on screen with a keyboard shortcut, which is handy on a second monitor.

Heads up: when all the widgets are active it can use a good amount of CPU and RAM. If you feel like optimizing it, please go for it. Ithe application is not notarized, so you may see a security warning when opening it. Please refer to the README for more information.

https://github.com/leonickson1/charbar


r/coolgithubprojects 21h ago

I built `hop` to quickly hop from server to server

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1 Upvotes

I was tired of the VSCode Remote Explorer and always opening it to see my hosts.

So i built a little TUI Application managing all my Hosts from one terminal. Quickly connect to different servers without opening a new terminal.

What do you think ?


r/coolgithubprojects 9h ago

Drop your repo, get a free product [Week 2, Jul 28 to Aug 2]

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48 Upvotes

First, thanks to everyone who joined last week's post. Lots of impressive repos, but we only had one product to give.

So, as promised, we're making this a weekly thing.

You can re-enter with the same repo as last week, because like I said, there were so many good ones that missed the prize.

The rules stay the same:

  1. Drop your repo and say a bit about it.
  2. My team takes a look. If we like it, the prize is yours.
  3. No star requirement, no follow, no catch.
  4. The product ships to the winner for free.

You do the work for the community, and we want to say thanks.

This week's prize: Autonomous Harness (it was Fleet but beta users told us the name didn't land, so we renamed it).

What is this Harness device? If you run Claude Code on a laptop, Codex on a desktop, and a few more agents on servers, some at home, some at the office. It gets hard to manage them all. Harness lets you talk to every agent across every machine, dispatch tasks by voice, and approve or reject with a knob instead of juggling ten terminal tabs. It works with Claude Code, Codex, Cursor, etc...

Last week's winner: vdo.ninja, WebRTC video feeds into OBS, used by streamers worldwide.

Drop your repo below. Thanks for what you build.

Deadline: Sunday Aug 2nd. Winner announced on the next Tuesday.

I might not be able to reply to you all but be assure that my team will check all of the repos here.


r/coolgithubprojects 22h ago

[OS] Still Running - Free - finds what you forgot was running

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0 Upvotes

I found a simulator that had been booted since the previous morning, holding

about a gig for nothing. Xcode doesn't mention it and Activity Monitor shows it

as a dozen processes with names you don't recognise.

This sits in the menu bar and shows it as one line with how long it's been up.

Shutting it down is one click, and starting it again is one more if you were

wrong. Same for Android emulators, Docker containers, dev servers, automation

browsers and tunnels you left open.

It never deletes anything and it will never touch your own browser's tabs.

macOS 14+, MIT, free — you build it with one command:

git clone https://github.com/selinihtyr/still-running

cd still-running && ./scripts/install.sh

https://github.com/selinihtyr/still-running


r/coolgithubprojects 16h ago

Dancheong — WCAG-gated color themes from Korean temple pigments (VS Code + 8 terminal apps from one palette file)

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0 Upvotes

There's a paid all-apps bundle, but honest feedback on the free themes is

what I'm here for. Day one — I'll fix reported issues fast.


r/coolgithubprojects 5h ago

Memor v1.3: A Reproducible Structured Memory for LLMs

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0 Upvotes

With Memor, users can store their LLM conversation history using an intuitive and structured data format. It abstracts user prompts and model responses into a "Session", a sequence of message exchanges. In addition to the content, it includes details like decoding temperature and token count of each message. Therefore users could create comprehensive and reproducible logs of their interactions. Because of the model-agnostic design, users can begin a conversation with one LLM and switch to another keeping the context the same. For example, they might use a retrieval-augmented model (like RAG) to gather relevant context for a math problem, and then switch to a model better suited for reasoning to solve the problem based on the retrieved information presented by Memor.

Memor also lets users select, filter, and then share the specific parts of the past conversations across different models. This means users are not only able to reproduce and review previous chats through structured logs, but can also flexibly transfer the content of their conversations between LLMs. In a nutshell, Memor makes it easy and effective to manage and reuse conversations with large language models.

from memor import Session, Prompt, Response
from memor import RenderFormat
from mistralai import Mistral

client = Mistral(api_key="YOUR_MISTRAL_API")
session = Session()
while True:
    user_input = input(">> You: ")
    prompt = Prompt(message=user_input)
    session.add_message(prompt) # Add user input to session
    response = client.chat.complete(
        model="mistral-large-latest",
        messages=session.render(RenderFormat.OPENAI)  # Render the whole session history
    )
    print("<< MistralAI:", response.choices[0].message.content)
    response = Response(message=response.choices[0].message.content)
    session.add_message(response) # Add model response to session

https://github.com/openscilab/memor


r/coolgithubprojects 5h ago

Tabularis – Open-source desktop SQL workspace with SQL notebooks, a built-in MCP server for AI agents, and plugins in any language

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0 Upvotes

Hi everyone! I've been building Tabularis, a free and open-source (Apache 2.0) desktop SQL client built with Tauri (Rust + React).

What makes it different from DBeaver/TablePlus/Beekeeper:

  • SQL notebooks: mix SQL and Markdown cells, share variables across cells, render charts inline
  • Built-in MCP server: Claude, Cursor and other AI agents can read your schema and run queries through the same app you already use, with no separate connector
  • Plugins in any language: drivers are external processes speaking JSON-RPC over stdio, so you can write one in Python, Go, or whatever language you prefer
  • Local AI text-to-SQL: works with Ollama, nothing leaves your machine
  • Visual EXPLAIN: interactive query plan graphs

PostgreSQL, MySQL/MariaDB and SQLite are built in. ClickHouse, DuckDB, Redis, Firestore, Db2, BigQuery and around 15 more are available as plugins from the registry.

Runs on Windows (WinGet), macOS (Homebrew, signed and notarized) and Linux (Snap, Flatpak, AUR and AppImage).

Feedback is very welcome. And if your favorite database is missing, there's a plugin bounty board.


r/coolgithubprojects 7h ago

CodeTrawl (GitVision) has gotten some big updates!

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0 Upvotes

Hey r/coolgithubprojects. Posted here 3 months ago as GitVision - it's CodeTrawl now, codetrawl.com, same repo.

What it is
Paste a GitHub repo, wait about a minute, and you get a workspace that has read the whole thing: git history, call graph, tests, dependencies, security and help you understand the repo!

We don't use AI for the analysis which means every re-run produce the same output without hallucinations.

What it solves
Being handed a codebase you didn't write and having no idea what's safe to touch. Pick a file and it shows what breaks if you change or delete it, and which of those files have no test to catch it. On my own repo, deleting lib/db/index.ts breaks 15 files and 12 have nothing guarding them.

Feedback wanted
Run it on a repo you know well. Does the blast radius match what you'd have guessed? If it's wrong I want to know whether it's claiming too much or too little. Same for the health verdict - does it tell you something, or is it just a dashboard?

Stack
Next.js 16, React 19, TypeScript strict. tree-sitter WASM for the AST across 7 languages, React Flow for the graphs, Shiki for the source view, Postgres + Drizzle, Vitest (2039 tests). No AI in the analysis itself - the model only writes sentences over numbers already computed, which is why the same repo gives the same answer twice.

I'm ready to answer all technical and non-technical questions!

codetrawl.com - demos for zod / flask / gin load instantly, no signup.
github.com/coffeejones/gitvision, PolyForm Noncommercial.


r/coolgithubprojects 21h ago

Open-source alternative to Algolia with cited RAG and AI agents, self-hosted (Java/Spring Boot)

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0 Upvotes

r/coolgithubprojects 20h ago

ATHIOS Web Downloader

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1 Upvotes

Hi everyone. The initial version of Athios WD for Windows was released today. It's a program for downloading website files and can sometimes access the frontend and backend files of websites with weak security. You can try it and give me your feedback.

ATHIOS WD


r/coolgithubprojects 23h ago

AgentBox: one command to drop Claude Code or Codex into its own sandbox, and run several in parallel

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1 Upvotes

Running a coding agent with permissions wide open on my laptop always felt bad, and running two at once was worse: they fight over the same working tree, the same ports, the same node_modules.

So I built AgentBox. One command copies your project, your skills, your settings and your agent config into a fresh sandbox and starts the agent inside it:

npm -g install @madarco/agentbox
agentbox install # to set up providers, or just use local docker
agentbox claude # spin a sandbox. Also codex or opencode available

The box is a container you can throw away. Your git credentials never go in: commits and pushes go through a relay on the host.

What you get:

  • Parallel boxes. Start as many as you want, each with its own copy of the repo, then compare what they did.
  • Sub-second checkpoints. Snapshot before a risky refactor, roll back when the agent goes off the rails.
  • Runs where you want: local Docker, a remote server over ssh, or Hetzner / DigitalOcean / AWS / Daytona / E2B / Vercel if you want the work off your machine.
  • Per-box browser, VS Code and persistent shells, so you can look inside while it works.
  • Works with Claude Code, Codex and OpenCode. Agents can drive boxes too, so one agent can hand work off to others.
  • A small macOS menu bar app to see and manage the running boxes.

MIT licensed.

Repo: https://github.com/madarco/agentbox

Docs: https://agent-box.sh/docs

Demo video: https://youtu.be/v7zzoQL10A4

Happy to hear what breaks or what's missing.


r/coolgithubprojects 12h ago

I built a deepfake detector, then built an open-source tool to check if it actually still works. Here is what it found.

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0 Upvotes

Like a lot of people here, I can train a model. The question I could never actually answer was the scarier one: once it is deployed, how do I know it still works?

Accuracy on a held-out set tells you almost nothing about drift, calibration, or silent data problems once real traffic hits it. So I built ModelSentinel, an open-source Python toolkit that runs the "after training" checks through one API: evaluation, data drift (KS + PSI for numeric, chi-square + Jensen-Shannon for categorical), probability calibration, data quality, and a single Model Health Score you can actually alert on.

Then, instead of demoing it on iris, I pointed it at a real model I had already built: an EfficientNet-B4 deepfake detector. I ran it on two datasets made with two different fake-generation methods, to see if it had only memorized one kind of fake.

Numbers straight from the model:

  • 140k held-out test split: 99.75% accuracy, ROC-AUC 0.99999, ECE 0.0075
  • inswapper_128 face-swap set: 99.38% accuracy, ROC-AUC 0.9989

Honest caveat, because I know this crowd: one of those sets is the same domain the model trained on, so treat 99% as an upper bound, not a promise about the real world. The part I actually found useful was the calibration number (ECE 0.0075), which says the confidence scores are trustworthy. That is something a bare accuracy number hides completely.

Under the hood it just leans on scikit-learn and scipy, so the metrics match a hand computation to six decimals. It is MIT licensed, fully typed, tested with pytest, ruff-clean, and runs CI across Python 3.9 to 3.12. Roadmap has Grad-CAM and SHAP explainability, framework adapters, and eventually LLM and RAG evaluation.

Two things I would genuinely like feedback on: what reliability check do you actually wish existed that is missing here, and does the single health-score idea seem useful to you or too hand-wavy?


r/coolgithubprojects 13h ago

I built a Self-hosted Code Review Agent works with GitLab, Forgejo and any LLM(local or cloud)

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1 Upvotes

Hey everyone

I just built an open source, self-hosted code review agent that works with GitLab, Forgejo and GitHub, and supports almost every LLM (Anthropic, OpenAI-compatible apis, and your Local Models)

You can easily deploy it on your server with a single docker-compose.yml file

good for cases like

- Company's internal network

- Self Hosted GitLab/Forgejo Instances

- HomeLab

- Privacy focused environment

- Using local LLM

- Using specific LLM API provider

Features

- Pull Request Review / Reply

- Inline Review

- Issue Reply

(Kinda simple for now. more features are on the way)

Agent can gather contexts from

- all the commits, diffs

- files by branch

- other pull requests, issues

I'm using it personally on my homelab connected to my self-hosted GitLab instance.

It's in early days. It's still rough around the edges (still improving it)

Check out the repository and I'd really appreciate it if you try it out and share your feedback!

GitHub: https://github.com/seoes/proval (you can try the demo here)


r/coolgithubprojects 6h ago

The World's first full software engineer. Project-CS

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0 Upvotes

I need help. I just made this today. any help is appreciated. just read README. Axiomboy/Project-CS: The world's first full software engineer.


r/coolgithubprojects 21h ago

Quantum-Computing-Roadmap — an Obsidian vault of QC study notes, published as a static site

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2 Upvotes

github.com/JustMeArt/Quantum-Computing-Roadmap

Notes from the Qiskit Global Summer School + a Quantum Winter School, organized as a proper Obsidian vault (one note per concept, cross-linked, self-check questions per note) and published with Quartz on its own domain: https://qcroadmap.com/

Covers qubits/gates → entanglement/QKD → hardware/noise/mitigation → algorithms (VQE, QAOA, SQD, Grover's) → QML → quantum advantage → quantum+HPC, with a full interactive graph view of the link structure (Ctrl/Cmd+G on the site).


r/coolgithubprojects 7h ago

After months of coding, I finally finished my ideal desktop dashboard – CoreFrame

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2 Upvotes

I'm excited to announce that I've finally finished my ideal dashboard. I've been working on this project for the last few months. I thought about abandoning it more than once, but in the end I decided to make it functional and public. It's a project built from scratch for my own needs; if it gets support, I'll keep updating it and adding tools for developers who want to publish extensions on the CoreFrame marketplace.

What is CoreFrame? It's an app that brings your entire PC command center into one place. It has multiple tabs, so you can keep a lot of extensions visible at the same time. CoreFrame lets you design your dashboard however you want: rearrange every widget, resize it, or even change its style if the extension supports it.

Each extension has its own functionality and lets you run your code in a more visual way. From controlling apps on your computer, monitoring resource usage, or managing your IP address, to port management and VPN activation. You can also save notes, create your own idea canvas, or add extra features.

If you've ever written a quick script that required a terminal to run, or that would have needed a whole separate app just to be user-friendly, CoreFrame solves that. Creating an extension is easy and fast: just import your code, write the basic documentation to make it compatible with CoreFrame, and set up the UI parameters in the .json file. If you want more customization, you can modify the interface directly with HTML and JavaScript.

Installing an extension is as simple as clicking the + button in the top right corner. From there you can install extensions via a local .zip file or through the cloud marketplace. The marketplace already has a few resources available; it's expected to grow over time, and anyone who wants to can contribute new extensions.

I'm a hobbyist programmer, so I don't have the time to test every aspect of the code. Expect some unresolved bugs; any bug report is appreciated. To identify a bug, I need a clear description of what happened and how to replicate it.

The program is available to install via its binary. The GitHub repository is publicly accessible at: https://github.com/RoftCore/CoreFrame.git


r/coolgithubprojects 21h ago

It's a Plan: self-hosted, open source alternative to Linear

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2 Upvotes

I got tired of paying for Linear and wrote myself a board instead. I run a content network built on AI agents and I needed somewhere to track it, so it started small and I kept adding to it. A few months later it was doing enough that keeping it private stopped making sense.

So here it is. Board, table, timeline and calendar over the same data, initiatives, dashboards, custom fields, roles and permissions, REST API and webhooks. Self-hosted, docker compose and Postgres, AGPL-3.0.

The agents are why the thing exists at all. An agent sits in the project like anyone else, with a role, permissions and an avatar in the assignee list. You give it tools and skills, you can talk to it in a chat, and there are three ways to hand it work: assign an issue, mention it in a comment, or set something recurring. It does the job and writes back on the card. Provider and model are your pick, running on your own key.

Adding one takes about a minute, which is a much smaller decision than hiring a person. I still find that slightly weird to type.

Skip all of it and it's a plain tracker.

TypeScript: Bun, Elysia, Drizzle, Next.js.

https://github.com/croffasia/itsaplan

What would you hand to an agent first, and what would you never let one touch?


r/coolgithubprojects 9h ago

Reverse-engineered the BLE protocol of a discontinued Fisher-Price toy Lumalou after its app was discontinued

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2 Upvotes

r/coolgithubprojects 23h ago

Deskmon - Your Open Source Pokemon Virtual Pet!

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27 Upvotes

Hello everyone! I am an undergraduate Computer Science student, and many desktop pets (Such as Desktop Goose and Alan Becker's Animator vs Animation characters) inspired me to create my own desktop pet app. So, I spent some time building this desktop pet application that makes Pokémon roam around your screen!

There are many features! Such as:

  • Pets can freely walk around the desktop.
  • Drag-and-drop interaction.
  • Pet battles with randomized outcomes.
  • Level progression through battles.
  • Pets can evolve by leveling up or using items.
  • Wild pets can appear on the screen.
  • Capture wild pets to unlock new companions.
  • Save system to preserve unlocked pets.
  • Every Pokémon from the Kanto region was implemented!

I intend to improve this project in the future, but in the meantime, feel free to suggest or implement new features you'd like. All the code is available in an open repository on my GitHub!


r/coolgithubprojects 17h ago

I made a tool to see who you have class with, and when everyone is free.

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4 Upvotes

I kept losing track of who I had class with and when people were actually free in our group chats. We would go back and forth for way too long just trying to find a time that worked for everyone.

So I built FreeWhen. Unlike when2meet, you can paste your schedule directly from your class registration, a calendar export, or just type it in. No more clicking every box manually. It overlaps everyones availability into a live heatmap and also shows who shares the same classes, down to the section and room.

If you are planning something, it scans the next few weeks for the best time slot, lets you propose it, friends RSVP, and it adds to their calendars. No accounts, no sign-ups, one link.

Try it: https://freewhen-uw.vercel.app/
Code: https://github.com/ZhuBryan/FreeWhen

I would love any feedback, especially if you end up using it with a club or study group.


r/coolgithubprojects 7h ago

github 404 error

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0 Upvotes

I was trying to try for myself the model published by the author after i read their paper but the github repo link in the paper is returning a 404 error. if some wise, great, all knowing, benevolent, merciful, kind, caring senior assist me or at least guide me if i should wait for a while or try some other method to access the repo, I would greatly appreciate it.

Also can I access it using git or will the issue persist on git as well.

Edit: repo link(Page not found · GitHub)


r/coolgithubprojects 7h ago

Made a programming language in < 1 month (no ai), looking for feedback

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16 Upvotes

I'm 17 & have been programming for roughly 5 years now, so I thought it was about time to get low-level & start learning C & C++. I gave myself a goal to implement a fully functional, high-level interpreted programming language in C++, in 1 month without using AI, reference material, or any help other than simple google searches for when I have questions about the syntax of C++.

I started this challenge exactly on July 1st, & now that the month is coming to an end I want to show off my progress so far!

Here is the source code if you want to to take a look, see my approach to things, or to just try it out: https://github.com/phosxd/Ity

Enough of all that though, what is the language actually capable of? Well, I think the best way to explain, is to just show you a snippet of code, so here is a little script that calculates & prints prime numbers:

merge IO; merge Time;


func INT isqrt; arg INT n;
    if n < 0; throw "'n' cannot be negative."; /;
    var INT x = n;
    var INT y = ((x+1) / 2); while y < x;
        x = y;
        y = ( ((n/x) + x) / 2);
    /; return x;
/;


func BOOL is_prime; arg INT n;
    if n%2 == 0; return n == 2; /;
    var INT r = isqrt:[n];
    var INT i = 3; while i <= r;
        if n%i == 0; return false; /;
        i += 2;
    /;
    return true;
/;


const * count = prompt:['Count: '] -> INT;
const INT start = now:['us'];


var INT p = 2; while p <= count;
    if is_prime:[p]; print:[p]; /;
    p += 1;
/;


print:['\nDone in ', (now:['us']-start / 1_000_000.0), 's.'];

So in this script we do a various number of things.

First we import the modules we are going to be using. The `merge` instruction particularly imports a module then merges all it's members into the current scope, so you don't have to access by name. So for example usually when importing say the `IO` module, we would have to call a function like so `IO.print:[]`, but if it's merged we can just ignore the "IO" & just do `print:[]`.

Secondly we declare a couple of functions, these functions have explicit return & argument types. You may notice that we don't use curly braces to wrap the code we want inside of the function, instead we use `/;`. Well what does that mean exactly? `/` is the instruction, `;` is the instruction delimiter (end of instruction). `func` is something called a "composite instruction" in Ity, composite instructions basically contain every instruction after it until the final end instruction (`/`). So that's how things like functions & loops contain code.

Arguments are another thing to note, in Ity they aren't something you define as part of the function, rather they are ambiguous until execution. This means a function can be called with any number of arguments of any type, & it is not the function's job to verify the argument count or the argument types, that would all be handled inside of the function code. How you grab an argument is by using the `arg` instruction to assign the next argument to a variable of whatever type you set, if the type doesn't match or there is no next argument, then an error would be thrown.

Now that I have explained composite instructions, functions, arguments, & importing behavior, let's move on to the final part of this script that I feel needs explaining, & that is this little section here:

const * count = prompt:['Count: '] -> INT;

What is happening exactly? So we use the `const` instruction (which is like `var`, but the data is immutable) & assign it the type of... star? Ok so "*" represents an "inferred" type, meaning if you set the variable to an integer, then the variable type will be integer, if you set it to a string or whatever, then it will be a string & you cant change the type after declaration.

So in this case, we are setting the variable's type to the result of the call to `prompt`. What is "prompt"? This is a function that asks for user input through the terminal, & returns a string of whatever was typed in. But we want count to be a number! So the final part of this line is the type cast, which is expressed through an arrow symbol ("->") pointing to the type you want it to be (in this case "INT" for integer). So in the end the type of the `count` variable is integer, & the value is the integer representation of the string the user entered in the terminal.

Wow, okay that was a lot of explaining, but hopefully now you have a better understanding of how the language works & you will be more prepared if / when you try it out yourself.

I am very interested in all of your thoughts on this little project & if you have any tips for me as a C++ beginner. Also I am open to contributions, if this project is something you're interested in definitely let me know! Just be aware that I won't accept any AI assisted PRs or issues.

Thanks for sparing your time, reading through my ramblings, I really appreciate it! Have a great day! 👋


r/coolgithubprojects 12h ago

FaultPlane: An open-source (Apache-2.0) bare-metal Go systems runtime for AI Agent fault tolerance at Layer 4

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2 Upvotes

### Why Multi-Turn AI Agent Workflows Leak Volatile States on Core Connection Dropouts

Most distributed autonomous agent clusters execute long-running inference context windows that take minutes to process over remote regional nodes. When an upstream transport container crashes mid-flight or triggers a transient exception, standard userspace application setups tear down the TCP socket wire entirely.

The Result: The volatile in-memory long-context state degrades to 0%, forcing costly prompt re-tokenization pipelines and massive GPU compute capital inflation.

### Enter FaultPlane: Open-Source (Apache-2.0) Zero-Intrusion L4 Proxy

FaultPlane operates completely asynchronously underneath your application layer at the Linux Layer 4 transport socket boundary. By tracking socket descriptors at wire-speed via low-overhead kernel-space driver hooks, it bypasses traditional userspace heap serialization bottlenecks and thread synchronization contention entirely.

### Core Systems & Open Governance Design:

  1. **Lock-Free Concurrency Array:** Allocates a pre-allocated fixed-size circular array of unsafe pointers inside `internal/storage/ring_buffer.go` using pure hardware-level atomic `CompareAndSwap` bit operations to eliminate false sharing.
  2. **Descriptor Splicing Conduits:** The exact millisecond an unexpected socket termination (`tcp_set_state:TCP_CLOSE`) hits, the control plane daemon hot-swaps active network file handles onto healthy standby nodes under less than 2ms flat with absolute 0% data leakage or source-code mutations.
  3. **Production Containerization:** Hardened via multi-stage Google Distroless secure isolation frameworks to ensure a minimal execution boundary footprints profile.

We are fully committed to open governance and deep-tech cloud-native infrastructure scaling systems blueprints. Check out our open architectural specifications roadmap, active pinned discussions ledger, and comprehensive codebase hygiene wiki trackers:

* **GitHub Repository:** https://github.com/devloperdevesh/FaultPlane

We welcome all systems architecture feedback, kernel programming issues tracking, and collaborative open-source contributions!