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I built an open-source daily Git summarizer.

If you are looking for some tools that could summarize everything you have committed during a specific day under a certain project folder, you can try this product, which uses large language model to read all your Git commit messages and gives you a summary.
https://github.com/Qualia-Li/git-summarizer

https://redd.it/1othz9f
@r_opensource
VoxTube - More videos, no ads

Hello! we’re all fed up with companies forcing paid subnoscriptions/premium tiers and with users’ freedoms being taken away. I know... I’m fed up too. I’m Electus, and my goal is to put an end to this together.

VoxTube is a software that modifies YouTube on the client side to mimic premium features and bypasses YouTube restrictions. It's completely Open-Source and always will be. Feel free to use it and contribute!

Project page: https://epls.itch.io/voxtube
Code source: https://git.disroot.org/E.P.L.S/VoxTube





https://redd.it/1otoyul
@r_opensource
Odino - a semantic search engine optimized for AI Agents

Semantic search with grep is impossible.

So I built Odino, a CLI that actually understands your files.

It’s perfect for AI agents and Cloud Code but also great as a companion to grep.
Grep finds text. Odino finds meaning.

What it does:

Scans your files and builds semantic embeddings
Uses the Embedding Gemma 300M model
Lets AI agents call semantic queries directly
Works locally through a simple Python CLI
Fully open source and ready for contributions

https://github.com/cesp99/odino

Open to feedback, issues, and pull requests.

https://redd.it/1otonw8
@r_opensource
Help to choose Best Open Source Hardware Security Key.

Hello!

I don't have any actual Info about SoloKeys and Nitrokey. I want to know which Hardware Security Key I should use if it is fully Open Source (Yubikeys aren't fully Open Source as much as I know).
I don't know where to ask such Question, so I thought it would be a good Idea to ask about it there since I search for fully Open Source Project that I can fully rely on.

https://redd.it/1otrs9l
@r_opensource
How do I share my package?

I recently published my first ever real package ( https://www.npmjs.com/package/appwrite-orm . It's incomplete currently, but I plan to finish it by next week). But now, I don't know what to do with my package.

I really want to make this package more popular and possibly gather a team to maintain it, but I have no idea how to make my package popular.

I'd be happy if someone more experienced could tell me how to popularize my package, and maybe give me some tips on how to make my package ready for release. thanks for the answers

https://redd.it/1otvpyt
@r_opensource
Hello I’m planning to open-source my Sesame alternative. It’s kinda rough, but not too bad!

Hey everyone,

I wanted to share a project I’ve been working on. I’m a founder currently building a new product, but until last month I was making a conversational AI. After pivoting, I thought I should share my codes.

demo video : https://www.loom.com/share/3ef0ffd2844a4f148e087a7e6bd69b9b



The project is a voice AI that can have real-time conversations. The client side runs on the web, and the backend runs models in the cloud with gpu.



In detail : for STT, I used whisper-large-v3-turbo, and for TTS, I modified chatterbox for real-time streaming. LLM is gpt api or gpt-oss-20b by ollama.

One advantage of local llm is that all data can remain local on your machine. In terms of speed and performance, I also recommend using the api. and the pricing is not expensive anymore. (costs $0.1 for 30 minutes? I guess)

In numbers: TTFT is around 1000 ms, and even with the llm api cost included, it’s roughly $0.50 per hour on a runpod A40 instance.



There are a few small details I built to make conversations feel more natural (though they might not be obvious in the demo video):

1. When the user is silent, it occasionally generates small self-talk.
2. The llm is always prompted to start with a pre-set “first word,” and that word’s audio is pre-generated to reduce TTFT.
3. It can insert short silences mid sentence for more natural pacing.
4. You can interrupt mid-speech, and only what’s spoken before interruption gets logged in the conversation history.
5. Thanks to multilingual Chatterbox, it can talk in any language and voice (English works best so far).
6. Audio is encoded and decoded with Opus.
7. Smart turn detection.



This is the repo! It includes both client and server codes. https://github.com/thxxx/harper



I’d love to hear what the community thinks. what do you think matters most for truly natural voice conversations?

https://redd.it/1otwag8
@r_opensource
Looking for help improving my single-file finance project

I’ve been working on a small finance project that currently sits in a single Python file. It includes DCF valuation, Monte Carlo simulation, technical analysis, and integration of financial news. It works, but it’s starting to get messy, and I’d like to make it cleaner and more maintainable.

I’m new to open-sourcing, and I’m not fully sure how to properly structure or present a project like this. I’d really appreciate any guidance on:

How to break a single large noscript into a proper project structure
How to make the code more readable and production-ready
What an open-source friendly repository should include (docs, folders, guidelines)
Any improvements to the logic, performance, or design
Any bugs or issues you notice
General suggestions to make it something people can actually use or contribute to

I’m also open to pull requests from anyone who wants to help improve it. Even small ones would be helpful as I’m still getting comfortable with the open-source workflow.

GitHub repo:Jsuryaboi-08/Synapse


Used AI for better articulation of the message.

https://redd.it/1ou24mx
@r_opensource
We at SigNoz shipped the 100th release of our open-source observability platform (Datadog, New Relic alternative)

When we started SigNoz, we wanted to build an "open" observability platform:

Open source
Based on OpenTelemetry
Self-host it in your infra if needed

All in one, with transparent pricing that doesn't punish you for actually using your monitoring tool.

v0.100.0 adds:

Span percentiles \- catch performance outliers in your traces without drowning in data
Infrastructure metrics in traces \- correlate app performance with resource usage
Cost meter alerts \- track your observability spend so you're not hit with surprise bills

Full changelog: https://signoz.io/changelog/

We're not trying to replace everything overnight, but if you're tired of vendor lock-in or paying per-host nonsense, might be worth a look :)

GitHub: https://github.com/SigNoz/signoz

https://redd.it/1ou4v8o
@r_opensource
We just released a mulit-agent framework. Please break itm

Hey folks!

We just released Laddr, a lightweight multi-agent architecture framework for building AI systems where multiple agents can talk, coordinate, and scale together.

If you're experimenting with agent workflows, orchestration, automation tools, or just want to play with agent systems, would love for you to check it out.

GitHub: https://github.com/AgnetLabs/laddr

Docs: https://laddr.agnetlabs.com

Questions / Feedback: info@agnetlabs.com

It's super fresh, so feel free to break it, fork it, star it, and tell us what sucks or what works.

https://redd.it/1ou76l1
@r_opensource
Just released a new library: react-native-frame-capture. Easy frame capturing for RN & Expo (with overlays, intervals & storage options)

### 📦 `react-native-frame-capture`

Hey everyone 👋
I just open-sourced a new library I built for React Native:
react-native-frame-capture — a native-powered frame capture module for Android (Expo compatible).

---

### ⚙️ What it does

A small library that lets you capture your app’s screen frames at any interval, optionally with overlays and flexible storage options.

⏱️ Capture frames every few ms/seconds
🖋️ Add overlays (image/text) to each captured frame
💾 Save frames to private, public, or custom directories
⚙️ Works in background
Supports Expo (Android)
🔧 Built with Kotlin (native) + TypeScript (JS bridge)

---

### 💡 Why I built it

While working on a React Native app, I needed a reliable way to record frame sequences — not full videos, just images at consistent intervals — and none of the existing solutions were stable or well-maintained.
So I built one from scratch, cleaned it up, and decided to release it as open source for others who might need it.

---

### Installation & Example

npm install react-native-frame-capture


Then:

import * as FrameCapture from 'react-native-frame-capture';

await FrameCapture.requestPermission();

await FrameCapture.startCapture({
capture: { interval: 1000 },
image: { quality: 80, format: 'jpeg' },
storage: { saveFrames: true, location: 'private' },
});

const sub = FrameCapture.addListener(
FrameCapture.CaptureEventType.FRAME_CAPTURED,
(event) => console.log('Captured:', event.filePath)
);

// Stop later
await FrameCapture.stopCapture();
sub.remove();


Docs, setup, and examples here 👉
📘 GitHub Repo
📦 npm: `react-native-frame-capture`

---

Feedback and contributions are super welcome — I’d love to know if anyone has ideas or use-cases for it 🙌

https://redd.it/1ou8k1s
@r_opensource
I need some feedback from you skilled opensource folks...

I need some feedback from you skilled r/opensource folks. As I approach retirement, subnoscription-based services need to go. I’ve been an Adobe Photoshop user since1.0 and addicted to Creative Cloud and my Mac.

 Here is my thought process on switching over to free or one time purchase. If you could share your thoughts and experience, I would greatly appreciate it.

Adobe Photoshop – Affinity Photo / Photopea

Adobe After Effects – Blender / Natron

Adobe Premiere - DaVinci Resolve

Adobe Lightroom – ON1 / Darktable

Adobe Acrobat – PDF Expert

Word – Google Docs

https://redd.it/1oubnro
@r_opensource
Could a “Discord-like” client be built on top of Matrix or XMPP, or perhaps even both?

I personally don’t have the technical knowledge, time, or energy to take on something like this — but I was curious:

Since Matrix, XMPP, etc. already support most (if not all) of the features that Discord offers — text, voice, video, threads, bots, roles, federation, etc. — would it theoretically be possible to just replicate Discord’s UI and UX and build it on top of the Matrix or XMPP protocol instead of starting from scratch?

___

I mean, sure, there’d be some challenges with existing third-party clients, like

**Matrix:**

Element X,

Nheko,

Cinny,

FluffyChat,

___

**XMPP:**

Aparté

AstraChat XMPP Client

aTalk

Beagle IM

Bruno

Chat-O-Matic

Chatty

Conversations

Cheogram Android

but if developers and users agreed to focus on a stack — say, Matrix, XMPP, or both — couldn’t there a “Discord-like” ecosystem of compatible apps and communities?

___

Basically: could an open-source “Discord alternative” be built using Matrix or XMPP as the backend rather than trying to reinvent the wheel?

What are the technical or social barriers to doing that?

https://redd.it/1ouhcaw
@r_opensource
Opensource File Conversion Webserver (Alternative to Convertio, CloudConvert...)

My Self-Hostable File Converter Webserver is quite stable now: https://github.com/LoredCast/filewizard

It also supports OCR, Trannoscription and Text to Speech.

It supports almost any format I can think of (400+).

https://redd.it/1ouh521
@r_opensource
CLI to easily find files using natural language

Semantic search with grep is impossible.

So I built Odino, a CLI that actually understands your files.

It’s perfect for AI agents and Cloud Code but also great as a companion to grep.
Grep finds text. Odino finds meaning.

What it does:

• Scans your files and builds semantic embeddings
• Uses the Embedding Gemma 300M model
• Lets AI agents call semantic queries directly
• Works locally through a simple Python CLI
• Fully open source and ready for contributions

https://github.com/cesp99/odino

Open to feedback, issues, and pull requests.

https://redd.it/1oul55g
@r_opensource