📦 factory-ai/cursed-plugins

Cursed Plugins: Code Reviews That Roast You

The cursed plugins repository from Factory AI transforms your codebase into a source of dark humor by using AI agents to generate absurd analysis reports. Instead of standard technical feedback, you can ask your coding assistant to write a dating profile for your repository, conduct a therapy session for your files, or produce a dead-serious migration plan from modern JavaScript back to COBOL. These modules work with popular AI coding tools to turn messy legacy code into entertainment, letting you share funny roasts of your own projects on social media. It is a lighthearted way to cope with technical debt without taking the stress too seriously.

📰 https://news.ycombinator.com/item?id=49124125

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📦 puffinsoft/peek-cli

Let AI Agents See Your Browser

Let coding agents see your browser. Peek-cli allows artificial intelligence assistants to capture a screenshot of any open tab in your browser. Your agents can now iterate on frontend designs until they are flawless. Works with Claude Code, Codex, Copilot and many more. See it in action: It works by using a browser extension to stream screenshots over web sockets. For security, you need to connect the agent once on every startup. Start the web socket daemon. Connect your browser. You are good to go. View available tabs. Capture screenshot. Install the chrome extension. Install the cli. Install the skill. For claude code. For codex. Is this safe?

📰 https://news.ycombinator.com/item?id=48799078

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📦 llamastash/llamastash

LlamaStash: Launch Local AI in Seconds

LlamaStash is the terminal tool that lets you launch local AI models with a simple init wizard and zero technical overhead. It solves the headache of complex setup by automatically detecting your computer's hardware, finding AI models you already downloaded, and starting a chat interface in just one step. Instead of wrestling with command-line arguments, you get a fast, interactive screen to manage your models easily. It works as a simple command, a visual app, or a background service, making private artificial intelligence actually accessible on your own machine. You finally get to run smart, local language models without needing to be a system expert.

📰 https://news.ycombinator.com/item?id=48369499

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📦 pachterlab/paperpush

PaperPush: Auto-Fill Journal Submissions

PaperPush automatically fills out academic journal submission forms using browser automation and optional artificial intelligence extraction. It supports dozens of major publishers and preprint servers by generating a local template file from your manuscript metadata. You can manually edit this file, use an AI agent to populate it, or let the tool read your paper directly. The software then opens the specific submission portal for your chosen venue, logs you in, and fills every field automatically. Crucially, it never clicks the final submit button, leaving you to review the completed form and press confirm yourself.

📰 https://news.ycombinator.com/item?id=49112424

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📦 jintae-00/redesign

ReDesign: Turn Flat Images Into Editable Designs

ReDesign is the AI agent that finally turns flat images back into editable design files. Most people lose their original source files and are stuck with uneditable flat exports, but ReDesign solves this by breaking a single image down into real text, vector shapes, and stacked layers. It works like a smart detective that looks at the picture, makes a guess about which tool to use, and then checks its own work before moving to the next piece. The most fascinating part is how it peels the image apart layer by layer until you have a clean, editable structure instead of just pixels.

🆔 @hackernewsgithubprojects

📦 tum-avs/chat2scenic

Chat2Scenic

Chat2Scenic transforms plain English descriptions into fully executable autonomous driving test scenarios in just a few steps. Instead of manually coding complex traffic simulations, this framework uses an interactive chatbot to interpret your natural language requests and iteratively refines them into precise Scenic script files. It leverages retrieval-augmented generation to ground the creation process in real-world regulatory documents and existing code examples, ensuring the output is both legally compliant and technically accurate. The system breaks the scenario down into logical components like vehicle behavior and environmental conditions, then assembles them into a ready-to-run script for the Carla simulator. This approach dramatically outperforms traditional methods, achieving a seventy-six percent compilation success...

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📦 skrabe/tweakcc-fixed

tweakcc-fixed: Customize Claude Code Prompts

Claude Code only exposes so much through its settings. tweakcc reaches the rest: it patches the installed binary directly — the cli.js, and the JavaScript baked into the native Bun build — so you can restyle the interface, rewrite the prompts Claude actually runs on, and change how it behaves. You pick what you want from a terminal UI, apply it in one command, and roll it back whenever you like. This is tweakcc-fixed, a fork of Piebald's tweakcc that keeps everything the original does and pushes further — over four times the prompt coverage, a deeper set of patches, and overrides that reach the native install where upstream stops.

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📦 aself101/agents-and-pipelines

Agents and Pipelines: AI Agents for Critical Thinking

Agents and Pipelines is a collection of fifty-seven specialized AI agents that treat software review as a debate rather than a checklist. Instead of just checking for syntax errors, this library equips you with thinkers like an Alien Frame Analyst who invents alternative problem definitions to expose hidden assumptions, or an Anxiety Reader that simulates a panicked operator to find weak spots before they break production. You simply copy these plain text definitions into your code editor, and suddenly your AI assistant doesn't just write code, it argues with it. It challenges your architecture using philosophical lenses and stress-tests your logic against perverse outcomes that no standard linter would catch.

🆔 @hackernewsgithubprojects

📦 intellisensing/self-in-space

Self-in-Space: Teaching Drones Spatial Awareness

Self-in-Space teaches drone AI to truly understand its own position and movement in 3D space. Most video models just see static pictures, but this project adds a special motion tracker that calculates how pixels shift between frames. By combining these movement signals with visual details, the AI builds a real sense of spatial awareness rather than just recognizing objects. It creates a benchmark to test how well drones can track themselves and reason about their surroundings. This is a game changer for making autonomous flying smarter and safer. Check out the repository to see how motion data transforms basic video understanding into embodied intelligence.

🆔 @hackernewsgithubprojects

📦 yc-software/qm

QM Multiplayer Agent Harness

qm lets teams give every employee their own isolated AI workspace that plays nice in Slack and the web. Instead of a single shared assistant, each person gets a personal sandbox with private memory, files, and tools that never mix with others. You can collaborate in group channels, run background tasks on a schedule, or build internal web apps together. It supports models like Claude and Codex, so you are not locked into one vendor. The best part is security: every action is audited, and admins can set approval rules to keep things safe. It is built for startups that need both independence and teamwork without the usual complexity.

📰 https://news.ycombinator.com/item?id=49126604

🆔 @hackernewsgithubprojects

📦 zwyang6/sage

SaGe: Teaching AI to Think Like a Detective

SaGe transforms how artificial intelligence understands images by forcing models to build mental maps of relationships rather than just spotting isolated objects. Instead of simply listing items it sees, this project uses a technique called scene graph thinking to trace how things connect in space and depth. By training the model to explore these structured connections step by step, it solves complex visual puzzles with remarkable accuracy. It is like showing the computer a map of the scene so it stops guessing and starts reasoning. This approach delivers state-of-the-art results on major benchmarks, proving that structured visual understanding is the key to truly smart machine perception. You can find the...

🆔 @hackernewsgithubprojects

📦 baihuajun24/spork

SPORK: Overlap Tool Latency with LLM Thinking

SPORK runs a lightweight probe alongside a large language model to predict and dispatch tool calls while the main model is still thinking. By guessing the next action early, it hides tool execution time behind the model's reasoning process. This overlap trick cuts tail latency significantly without changing the model's behavior, making agentic workflows noticeably faster when using think-mode architectures like Qwen.

🆔 @hackernewsgithubprojects

📦 bashalarmistalt/decimen-optical-transfer

Decimen Optical Transfer: Send Files with Light

Decimen optical transfer is the screen-to-camera tool that turns your monitor into a file server using nothing but light. It takes a file, shreds it into tiny data blocks, and then mixes them into a never-ending stream of animated QR codes displayed on the laptop. You open the receiving page on your phone, point the camera at the flickering screen, and watch the app rebuild the original file from the stream. The magic is in the fountain coding: the receiver captures any frames it can read, even if it misses some or grabs them out of order, and still perfectly reconstructs the data.

📰 https://news.ycombinator.com/item?id=49122553

🆔 @hackernewsgithubprojects

📦 lerd-env/lerd

Lerd: Rootless PHP Dev with Podman

Lerd lets you spin up local PHP development environments without Docker or root access by using rootless Podman containers. It automatically assigns your projects.test domains with instant HTTPS and isolates PHP and Node versions per project. The coolest feature is the built-in web dashboard that lets you manage sites, databases, and even debug code without touching the terminal. It is perfect for Linux and macOS developers who want a clean, frictionless setup. Check it out to simplify your local dev workflow.

📰 https://news.ycombinator.com/item?id=49127108

🆔 @hackernewsgithubprojects

📦 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.

📰 https://news.ycombinator.com/item?id=49061275

🆔 @hackernewsgithubprojects

📦 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.

📰 https://news.ycombinator.com/item?id=48719912

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects