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πŸ“¦ 4rh1t3ct0r7/doom-regex

Doom Running on Regex

Doom runs entirely inside a single ninety-six megabyte text string using only fifty-four find-and-replace rules. Imagine the entire game engine, memory, and graphics stored as plain characters while a simple loop scans for patterns and swaps them out. Each swap updates registers, moves data, or draws a pixel until the next frame appears. It is a complete computer built from text substitutions, proving that even a classic shooter can be simulated without any actual arithmetic or code. The result is a byte-perfect match to the original game, rendered slowly but flawlessly. It is a fascinating look at how computation can hide in plain sight.

πŸ“° https://news.ycombinator.com/item?id=49061275

πŸ†” @hackernewsgithubprojects
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πŸ“¦ atc1441/miband10-bes2700imp-best1503-hacking

Running Doom on a Mi Band 10

Running custom code on a smartwatch like the Mi Band 10 usually feels impossible because the manufacturer never released any development tools for its special chip. This project changes everything by reverse-engineering the stock firmware to build a complete, working SDK from scratch. The creators mapped out the correct memory layout, recovered the display drivers, and even figured out how to physically flash new software onto the device. The most surprising result is a full port of the classic game Doom that actually runs smoothly.

πŸ“° https://news.ycombinator.com/item?id=48719912

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pauliusos/pallet-town-3d

Build a 3D Game With Zero Art Files

Walk through a fully playable 3D recreation of Pokemon Pallet Town without downloading a single image or model file. The project generates every texture from math, sculpts characters like Charmander using code, and even synthesizes its own sound effects in the browser. This means the entire world, from the grass to the lab, is built instantly by algorithms rather than loaded from a hard drive. It is a fascinating look at procedural generation that proves you do not need binary art files to create a rich, cartoon-style adventure. You can explore the town, choose a starter Pokemon, and see how far procedural art can go today.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ deviffyy/openquota

OpenQuota AI Usage Tracker

OpenQuota lets you watch your AI coding subscriptions in one small panel that sits in your system tray. It tracks session limits, weekly quotas, and token usage for popular tools like Claude Code, Cursor, and Copilot. You can pin the numbers you care most about so they stay visible without interrupting your work. The app also shows pacing alerts to warn you when you are running out of credits. It works on Windows, macOS, and Linux and keeps your credentials safe in your operating system. No cloud backend means your data stays on your own computer. You finally know exactly how much budget you have left before the next reset.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ memtensor/memmy-agent

Memmy Agent: AI Memory for Every Assistant

Memmy Agent lets you share one persistent memory across every AI tool you use, from Claude Code to Cursor. It scans your past conversations and work habits to build a personal knowledge base that follows you from session to session. Instead of starting over with every new chat, your assistants actually remember your preferences and project context. It runs locally so your data stays yours, and you can talk to it through a desktop app, a command line, or even other AI agents. This means you build a long-term working relationship with your tools instead of just having one-off chats.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ abdowaer098/wa3r-offsec-kit

Real-World Cyber Attack Playbooks

The Wa3r OffSec Kit is a no-nonsense collection of over fifty practical security documents, but the real star is its step-by-step attack workflows. It translates complex hacking concepts into clear, actionable playbooks you can actually follow, covering everything from basic web vulnerabilities to advanced cloud exploits. Instead of dry theory, it shares real-world case studies and decision trees that show exactly how professionals chain attacks together in the field. It is like having a seasoned hacker’s notebook, stripped of fluff and focused entirely on what works, making it an incredible resource for anyone looking to understand modern cyber threats from the attacker's perspective.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zeronsh/comet

Comet: Control Coding Agents from Any Device

Take charge of your AI coding assistants like Claude or Codex across every screen you own. Comet lets you kick off a session on your desktop and instantly take over from your phone or a terminal, thanks to a background engine that keeps everything perfectly in sync. You install a tiny daemon on a server or always-on box, and it runs your agents even when your laptop closes. The magic is in the real-time collaboration layer that updates transcripts and commands instantly across devices without needing complex setups.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ smg-project/smg

Shepherd Model Gateway: The LLM Traffic Controller

Shepherd Model Gateway connects any language model to any client through a single fast interface, so you can mix open-source tools with cloud services without rewriting code. Its smartest move is cache-aware routing, which watches how much memory each server is holding and sends new requests to the one that already has similar data ready, saving time and money. Built in Rust, it handles heavy traffic with built-in safety nets like circuit breakers and keeps your conversation history private. Instead of juggling dozens of different APIs, you get one clean door to run your AI apps efficiently.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ heartached/noctis

Noctis Music Player Review

Play your entire collection in pristine audio quality without sacrificing your privacy or sanity. Noctis is a beautiful, cross-platform music player that finally gets it right. Forget clunky interfaces and forced updates. Instead, enjoy a stunning dark theme, smooth animations, and a library that actually stays organized. But the real magic happens with the lyrics. Watch as word-by-word karaoke lines appear in perfect sync, just like a professional video clip. It even lets you edit those lyrics yourself and share them as cool image cards. Whether you are streaming from a home server or just managing local files, Noctis feels fast and responsive.

πŸ“° https://news.ycombinator.com/item?id=48099435

πŸ†” @hackernewsgithubprojects
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πŸ“¦ noobygains/claude-pulse

claude-pulse: The AI Usage Dashboard

Claude-pulse is the status bar dashboard that finally keeps your AI usage visible and under control. It sits right in your terminal, reading data directly from Claude Code without needing any extra API keys or complex setups. You get instant, color-coded progress bars for your session and weekly limits, so you always know how much of your budget you have left. It tracks your spending in real time, shows your active model, and even highlights when your context window is getting full. Instead of guessing or checking dashboards later, you see exactly what’s happening while you work.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ qwenaudio/qwen-audio-agent

Qwen Audio Agent

Qwen Audio Agent is the voice frontend that keeps AI agents present while they work. It handles real-time voice chat so you can talk naturally, while the agent runs background tasks like coding or research. Instead of waiting for a loading spinner, the agent just listens, chimes in when it’s done, and hands control back. You can use it with major tools like Claude Code or OpenClaw, or just stick to voice mode. It runs locally, respects your privacy, and turns your computer into a voice-first workspace. Check it out if you want your agents to actually feel alive.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kyuz0/strix-halo-ds4-toolbox

AMD Strix Halo ds4 Toolbox

AMD Strix Halo ds4 Toolbox is the developer container that finally lets you run powerful local AI models on AMD’s new laptop chips. It solves the headache of complex hardware setup by providing a pre-built environment that gets your integrated graphics running deep learning software with just a few commands. The coolest part is how it handles massive AI models by treating your solid-state drive like extra memory, letting you run huge language models on laptops with only a single hundredδΊŒεε…« gigabytes of RAM. You simply pull the container, grab the model files, and start chatting or coding right away.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ paritok-official/paritok-4b-v1

Cut Coding API Costs by 95% with Paritok

Coding agents burn through your API budget fast. Paritok is the first open-source compression model built specifically to fix that. It sits between your coding assistant and the API, shrinking massive conversation histories down to twenty-five percent of their original size. This means you keep almost all the solving power but pay a tiny fraction of the token costs. The best part is it never deletes your code forever. If the AI needs the full original text back, it can instantly recall it from the compressed data. It is a smart, self-hostable way to make long coding sessions affordable and efficient.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ bmad-code-org/bmad-module-creative-intelligence-suite

Creative Intelligence Suite

Get unstuck and spark fresh ideas by letting specialized AI agents guide you through proven creative exercises, turning that mental block into actionable solutions for brainstorming, design thinking, or problem solving. It is basically a personal creativity coach that walks you through structured techniques instead of just dumping a random answer. The coolest part is the Brainstorming Coach, which actively steers you through frameworks like SCAMPER to force you to look at your problem from seven completely different angles until a real breakthrough clicks. It works because it makes you do the thinking, not just read it.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tonyd2wild/deepseek-v4-flash-0731-dspark-1m-nvfp4-kv-2x-dgx-spark

DeepSeek V4 Flash on DGX Spark: 1 Million Token Context

This setup runs the DeepSeek V4 Flash model across two dedicated graphics cards to deliver an impressive one million token context window while maintaining smooth, high-speed responses. It solves the common problem of AI models losing track of long conversations or documents by using a special memory-saving technique that keeps huge amounts of text accessible without slowing everything down. The repository provides a ready-to-use recipe that automatically handles the complex configuration needed to keep the system stable under heavy loads. You get reliable performance for tasks like processing large codebases or analyzing lengthy reports without the usual glitches or delays.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lixiaochuan2020/agentic-context-management

Agentic Context Management

Agentic Context Management is the open-source toolkit that finally lets AI agents remember long conversations without forgetting the details. Traditional AI models hit a memory wall and lose track of early clues when tasks get complex, but this project teaches a model to actively manage its own knowledge by compressing old data into retrievable chunks and keeping a permanent backup on disk. Instead of blindly deleting chat history, the agent learns to summarize what it knows and store it safely for later reference. This post-training approach turns a forgetful model into a reliable researcher that can handle multi-step problems without losing context.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ frontisai/openrsi

OpenRSI: Training AI to Improve AI

Build smarter AI by teaching it to code, test, and fix itself through a loop of trial and error. This project turns the abstract idea of self-improvement into real, measurable code where machines learn from their own mistakes. You get an open toolkit to train models using actual execution feedback, letting them refine their own software engineering skills over time. It is not just a benchmark result, but a complete system for making AI research faster and more efficient. You can run experiments on your own GPU to watch the model evolve its own coding abilities from scratch.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ daly2211/autoretrieval

Autoretrieval: Self-Improving AI Search

Autoretrieval is the autonomous AI agent that optimizes document search pipelines without human intervention. Most retrieval systems are static and brittle, requiring manual tuning to work well with your specific data. This tool changes that by letting an AI agent experiment on its own. You point it at your documents, and it iteratively tweaks chunk sizes, embedding models, and keyword filters. The agent runs evaluations, checks if accuracy improved, and keeps only the successful changes. It repeats this loop overnight, waking up to a significantly better search setup. You get a tailored retrieval system that actually works for your content, built through trial and error rather than guesswork.

πŸ“° https://news.ycombinator.com/item?id=48995907

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ddcat-ai/open-ai-canvas

Open AI Canvas: Your Infinite AI Film Studio

Open AI Canvas turns your computer into an infinite film studio where artificial intelligence actually builds the scenes for you. Instead of wrestling with confusing timelines or manual editing, you get a massive blank workspace that grows as you create. You can drag in images, text, and prompts, then connect them with smart agents that automatically generate video clips and storyboards based on your ideas. It handles the heavy lifting of turning your loose creative thoughts into a structured visual narrative, letting you focus on the story rather than the technical setup.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jsgrrchg/neverwrite

NeverWrite: Your AI-Powered Markdown Workspace

NeverWrite lets you build a personal knowledge vault that actually works with artificial intelligence agents. It combines a flexible text editor with a powerful review system that tracks every change an AI makes so you can inspect, accept, or reject edits before they stick. This keeps your writing in your control while still giving you the help of smart assistants like Claude or Codex. You can clip web pages into your notes, view documents in a visual graph, and keep all your data stored locally on your own computer.

πŸ“° https://news.ycombinator.com/item?id=49131545

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mokshablr/gander

Gander: The Ultimate Offline Android File Viewer

Gander lets you open any file on your Android phone without giving away a single permission. It handles PDFs, Word docs, Excel sheets, PowerPoint slides, photos, and videos all in one tiny app. The coolest part is how it works: it asks for zero permissions because it only accesses files you explicitly share with it. No cloud tracking, no internet access needed, and your data stays completely private. It even searches inside documents and lets you browse folders you grant access to. If you want a simple, secure way to view files without the bloat, this is the tool you need.

πŸ“° https://news.ycombinator.com/item?id=49119425

πŸ†” @hackernewsgithubprojects