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πŸ“¦ penberg/titania

Titania: A Tiny AI You Can Actually Read

One person built a complete artificial intelligence system, defining the hardware instructions, the compiler, and the model itself, all in code small enough for a single human to read and understand. This project, called Titania, solves the problem of opaque technology where every layer is a black box you must trust. Instead of relying on massive, invisible infrastructure, Titania runs a real language model on a simulated custom chip, proving that you can trace every calculation from the software down to the electronic circuits. It is a fascinating proof of concept for transparency, showing that complex systems do not have to be mysteries.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ dhh/omarchy-giants-theme

Omarchy Giants Theme: Code on Aged Paper

Omarchy Giants Theme is the terminal theme that makes your code look like ink on aged paper. It is a warm, low-contrast dark theme for the Omarchy terminal, built with sepia and cream colors over a soft brown-black background. The coolest part is not just the colors, but the wallpapers. It includes seventeen high-resolution portraits of computer science pioneers, like Ada Lovelace and Dennis Ritchie, drawn in that same aged paper style. You get to see the giants who built modern computing right on your desktop. It is a beautiful way to honor the history behind your code while keeping your eyes comfortable.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ damonhhh/creator-flow

Creator Flow: Your AI Video Co-Pilot

One AI agent can now handle the entire video production pipeline, from picking a topic to delivering the final publish-ready package. Creator Flow is a workflow designed specifically for solo creators who want to automate the messy middle steps of making short-form content. It connects topic scoring, script writing, voice-over generation, and visual assembly into one continuous process, so you are not jumping between five different apps just to finish one video. The real win here is consistency; it uses a set of built-in quality checks to catch common mistakes like bad timing or weak visuals before you even see the final cut.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ solari-sdk/solari-cookbook

Solari Cookbook: Testing Agent Plans Like a Scientist

The most interesting part of the Solari Cookbook is Worldline, a tool that stops computer agents from guessing. Instead of letting an AI try a plan and hope it works, Worldline snapshots the computer, forks it into several versions, and lets them all attempt the task simultaneously. It then checks the actual results, picks the winner, and runs that winning plan again on a fresh copy to make sure it is safe. It is like having a time machine for your software bots. The repository is full of these small, runnable examples that show you how to control cloud browsers and virtual machines with just one key.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ njpatel/omapager

Omapager: The Notification System That Actually Cares

Your desktop notifications probably hide your login codes, but Omapager treats those secrets like a bank vault. This tool for the Omarchy window manager blocks websites from using your notifications to trick your computer into opening files or leaking private data. It even grabs the correct app icons for every message so you instantly know where they came from. You get real control over who gets to talk to you, all while keeping your private information completely hidden. If you care about your privacy on Linux, this is the upgrade you have been waiting for.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ bojieli/ai-infra-book

AI Infra Book: The Math Behind LLM Speed

Grasp exactly why your large language model feels slow or why your hosting bill is surprisingly high. The AI Infra Book is a free, open-source guide that stops guessing and starts doing the actual math. It walks you through the hard limits of computer hardware to show you precisely how much memory and speed your model needs to run. No more mystery behind the scenes. You learn to calculate the real costs of training and serving AI, right down to the data moving between chips. It turns confusing infrastructure into clear, solvable equations. Grab the PDF, run the simple tools included, and finally understand the machinery behind the magic.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ brayden/townies

Townies: The Browser Game You Build Together

Up to fifty players can live inside the same three-dimensional town, all running entirely in their web browsers. This project called Townies uses cloud technology to keep a shared world in perfect sync without needing a heavy game client. You do not install anything; you just open a page. Inside, neighbors cooperate on simple chores like mowing grass or delivering papers, and they vote on how the community grows. It is a rare example of a full multiplayer simulation that feels native to the web. The code is open, so anyone can study exactly how the synchronization works. It is a fascinating look at modern web gaming.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ 011-sam-110/provenance

Provenance: 41 Live Data Feeds on One Globe

Provenance pulls forty-one distinct live data streams from government agencies and space organizations, rendering them all onto a single interactive globe. Instead of hiding behind unreadable files, the project translates raw feeds into a visual map that tracks everything from real-time road cameras and aircraft movements to earthquake activity and internet shutdowns. This open source platform solves the problem of data fragmentation by letting anyone see the physical and digital world operating in real time, without needing to understand complex technical formats. It is a quiet but powerful way to observe how our planet actually functions.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kruzovic7/ai-data-extractor

AI Data Extractor: Save Your Coding History

AI Data Extractor is the tool that finally rescues your lost coding conversations. Every time you clear an app or update a tool, those helpful chats vanish into digital thin air, but this open source script digs them straight out of your local machine. It handles ten different AI assistants, from Cursor to Aider, and mashes them all into one clean, readable file. You get your questions, the answers, and even the specific code snippets you shared, all in a format ready for backup or custom model training. It is simple to run and works on any computer without needing extra software. So stop letting your past work disappear.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ hi-nikola/hand-drawn-explainer-video-nikola

Hand-drawn Explainer Video Nikola: The AI That Draws As It Speaks

Hand-drawn Explainer Video Nikola creates actual animated videos where the line art is drawn on screen in real time, perfectly synced with the narration, rather than just fading in static images. It solves the problem of making complex educational content feel personal and engaging by mimicking a teacher sketching on a whiteboard. The tool takes your script and generates a finished file with subtitles and a real audio track. It even features a unique storytelling structure called the semantic island, which splits the screen into two sides so the viewer sees the cause and effect unfold simultaneously.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pika-monitor/pika

Pika: Know if your server changes without you

Pika watches your files for tampering. This lightweight monitoring tool doesn't just track CPU and memory. Its standout feature is security. It constantly checks if critical system files get changed. If a hacker or script alters something, you get an immediate alert. It runs as a simple agent that pushes data to a central server. You can set it up in minutes using Docker. It handles everything from basic health checks to spotting unauthorized changes. It's a complete system in one package. You get real-time metrics and security auditing. It's not just another dashboard. It's a guard for your infrastructure.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zjwzcx/awesome-astra-embodied-ai

How Astra Paints Real Things

Awesome Astra Embodied AI is the curated collection that tracks GPT-6 Astra controlling physical robots without traditional programming. Instead of writing complex code for every movement, developers simply describe a task like painting a bridge or grabbing a marker, and the AI figures out the physical motions on its own. The most striking example is watching a real robot arm hold a paintbrush and actually paint a picture of the Golden Gate Bridge using only a text prompt and camera feedback. This repository documents these breakthrough moments where language models bridge the gap between digital ideas and physical action.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ericlitman/open-pstack

Open Pstack: The AI Coding Agent That Actually Works

Open Pstack is the coding agent plugin that turns your AI assistant into a disciplined engineer. It is not a new model, but a set of rules and workflows that makes AI coding tools like Claude Code and Codex actually useful. It forces the agent to understand your code before changing it, test things for real, and show its work. If you use AI to help you code, this is how you get it to stop guessing and start shipping. It’s like having a senior dev who checks their own homework.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ saya-ch/dsh-mobile

Talk to Your Phone UI

Control your computer's AI workspace directly from your pocket with DSH Mobile. This Android tool creates a secure bridge, letting you access the same real-time sessions and tools as your desktop without touching any source code. The coolest part? You can type a single command in your chat to instantly redesign the phone interface. Ask for a retro terminal look or a live system monitor, and the app refreshes with your custom layout in seconds. It handles the complex networking automatically, whether you are on local Wi-Fi or using a remote tunnel.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ modelcontextprotocol/ext-skills

Ext Skills: The AI Manual That Ships Itself

Ext Skills is the working group that finally gives A.I. agents the step-by-step manual to go with their tools. Right now, servers hand over buttons, but agents often don't know how to press them in the right order. This project solves that by letting servers stream the actual how-to guides right through the same connection. Instead of installing static files that go out of date, the agent gets the latest instructions automatically. It means the knowledge stays in sync with the tools, and updates flow without you ever touching a terminal. Think of it as the product shipping its own user guide. If you build A.I.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nyckm/3d-camera-control-h3-minimax

Visualize 3D Camera Orbits for AI Video

Stop guessing how to make AI cameras move and start dragging a 3D camera in a visual editor. This ComfyUI plugin, called Camera H3, lets you orbit, zoom, and set keyframes with your mouse to plan a shot. The surprising part is how it works: instead of moving pixels, it translates your 3D movements into plain English text prompts. It writes a detailed description of the path and sends it to the MiniMax H3 model, which then tries to follow those instructions to generate your video. It is a bridge between spatial design and text-based generation. You draw the path, and it tells the AI exactly where to look.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ flame-chasers/gtr

GTR: Text Search Without Labels

GTR is the computer vision framework that finds people using only text descriptions, completely skipping the need for human-annotated data. Traditional systems require thousands of hours for humans to manually label images with words, which is expensive and slow. GTR solves this by generating its own diverse, pseudo-labels to teach the model how to match text to images. It learns from these generated examples using a smart weighting system that ignores noisy mistakes, allowing it to become accurate without any manual intervention. This approach removes the biggest bottleneck in building searchable visual databases.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jzjzzzzzzz/agent-me

Agent-Me: The Transparent AI Twin

Agent-Me builds a digital version of you that you can actually see inside. Instead of a black-box chatbot, it uses a clear step-by-step process to find your notes, check the evidence, and verify the answer before it speaks. The most interesting part is that every step is inspectable, so you can see exactly why the AI said what it did. This makes it a real tool for understanding how AI represents your thoughts, not just a gimmick. If you want an AI that works with your context and stays transparent, this is the project to watch.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ flyingwagner/scicode-verified

SciCode-Verified: The Benchmark Fix

Fix your AI benchmarks before they lie to you. SciCode-Verified repairs a famous scientific coding test that was accidentally rejecting correct code. The original benchmark used all-or-nothing scoring, meaning one tiny error in a frozen answer or a broken test would wipe out a perfect solution. The team audited every single problem, fixing hidden bugs and ambiguous instructions so the tests actually measure skill, not data glitches. This matters because the original version made top models look way worse than they are. By correcting these defects, we finally get a fair score. If you care about honest AI metrics, this is the version to use.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ aryan-20-04/mdrap

MDRAP: The Market Data Guardian

MDRAP is the market data pipeline that refuses to let your data quietly disappear. It takes the chaotic, noisy feeds from multiple exchanges and cleans them into a single, verified stream without ever silently dropping a bad packet. The real magic is in its cryptographic audit trail. Every piece of data gets a digital fingerprint, creating an unbreakable chain of proof that shows exactly where it came from. If a regulator or a trader asks why a price was wrong, you can prove it in seconds. It is the difference between guessing and knowing. Stop trusting your data blindly; start proving it.

πŸ†” @hackernewsgithubprojects