📦 unity-technologies/unity-agent-plugin

Unity Agent Plugin: Your AI Coding Sidekick for Unity

Unity Agent Plugin is the bridge that gives your AI coding assistant the specialized skills needed to build games. Instead of generic advice, it feeds your agent specific, documented instructions for handling tricky Unity tasks like pixel-perfect rendering or setting up in-app purchases. This means when you ask your assistant to fix blurry sprites or configure multiplayer voice chat, it knows exactly which settings to tweak to get the job done right. You stop guessing and start shipping, turning your AI tool into a reliable partner that understands the unique quirks of the game engine you are working with every day.

🆔 @hackernewsgithubprojects

📦 guqiong96/lsglang

lsglang

Run massive AI models on hardware that looks too small to hold them. Lsglang takes a standard language model server and teaches it to split the work between your graphics card and your regular computer memory. Instead of cramming everything into the limited graphics card, it keeps the heavy parts in standard system memory and only moves what is needed to the fast chip. This means a single machine can handle a model that is effectively twice as large as the memory card alone allows. It is a clever way to squeeze more performance out of existing hardware without buying a new server.

🆔 @hackernewsgithubprojects

📦 uiuing/browser-agent

Browser Agent

Browser Agent is the open-source browser runtime that verifies every single action against the live page structure. It acts as a Chrome extension where the AI plans its next move in a side panel, but the real work happens on actual web pages. The project solves the problem of AI hallucination by checking if a button was truly clicked or if a list actually updated, rather than just trusting the model’s word. This makes it a reliable tool for automating real-world tasks safely. If you want an AI that proves it worked, this is the one to watch.

🆔 @hackernewsgithubprojects

📦 ivanfioravanti/ds4-metal

Run Massive AI Models Locally

Run powerful language models directly on your personal hardware with DwarfStar, a specialized inference engine built for Apple Silicon. It executes the DeepSeek V4 Flash model using your Mac’s dedicated graphics processor, eliminating the need for expensive cloud servers. This project solves the problem of running high-quality, large-scale AI locally by providing a native, optimized tool that works out of the box. You get a self-contained system that handles everything from model loading to interactive chat, making advanced AI capabilities accessible on consumer laptops. This dedicated approach ensures stable performance without the overhead of general-purpose runners.

🆔 @hackernewsgithubprojects

📦 katiahayati/lucasartsifier

How to Fix Old Adventure Game Bugs

Lucas Artsifier hunts down hidden traps in thirty-year-old adventure games where you can get permanently stuck even though the game still accepts your inputs. It reads the game's internal code, figures out exactly which items or actions cause a dead end, and automatically writes the fix right back into the game files. The coolest part is that it finds these bugs without you telling it where the goal is or how to win; it discovers everything from the code itself. It even checks its own fixes to make sure it didn't break anything else, then repacks the game so it plays perfectly.

📰 https://news.ycombinator.com/item?id=49355607

🆔 @hackernewsgithubprojects

📦 pgrundev/pgterm

pgterm: The Postgres Monitor You Need

Keep every Postgres database healthy without juggling separate windows or risking accidental writes. pgterm is a terminal interface that acts as a central dashboard for all your database environments. It runs read-only diagnostics in the background to spot issues like blocked locks or unused indexes before they become problems. The standout feature is how it handles security; it strictly refuses any write commands and keeps connection details in memory, so your passwords never touch the disk. It even flags specific databases that need attention while you focus on others, keeping your workflow smooth. If you manage Postgres, this tool gives you a clear, safe view of your infrastructure.

📰 https://news.ycombinator.com/item?id=49649155

🆔 @hackernewsgithubprojects

📦 wassermanproductions/scriptbreak

ScriptBreak: The Screenplay App That Doesn't Phone Home

ScriptBreak is the desktop app that finally keeps your script private while making it AI-ready. It solves the problem of needing to upload sensitive creative work to a cloud server just to get analysis. You simply drop in your screenplay, and the app breaks it down into scenes, characters, and shot lists entirely on your machine. The most surprising part is how it handles AI. Instead of using API keys, it exports self-contained prompt files. These files carry all your production data and instructions, so you can paste them into any local or cloud-based model you already trust. No servers, no accounts, and no data leaves your computer.

🆔 @hackernewsgithubprojects

📦 ksimback/hermes-ecosystem

Hermes Atlas: The 240 Tool Decision Layer

Hermes Atlas is the decision layer that turns a sprawling AI agent ecosystem into a clear, actionable plan. It solves the problem of analysis paralysis by curating over two hundred open-source tools, presenting live GitHub star counts, and recommending the exact installation modes and skills you need for your specific workflow. Instead of guessing which plugins fit your setup, it analyzes your use case and matches it against the ecosystem data. This project is useful because it acts as a trusted guide, filtering out noise and highlighting the most relevant community projects. It transforms a chaotic landscape of options into a structured path for developers.

🆔 @hackernewsgithubprojects

📦 luchasarie/bro-skill

Bro Skill: The AI Translator for Tech Jargon

A single markdown file now forces AI assistants to stop sounding like robots and start sounding like smart friends. The project called Bro Skill solves a very specific frustration: when your coding assistant gives you a reply packed with heavy jargon that makes you want to scream, you simply type the command slash bro. The tool does not answer a new question or change the facts. Instead, it takes its own previous message and re-explains it in plain, everyday language. It keeps every file path, command, and number exactly the same, but wraps the meaning in a casual, direct tone.

📰 https://news.ycombinator.com/item?id=49649589

🆔 @hackernewsgithubprojects

📦 phenx/trazor

Trazor: The Browser-Based Vector Tracer

Turn any flat photo into crisp, editable vector art without sending a single pixel to a server. Trazor is a free, open source tool that runs entirely in your web browser to convert standard images into scalable graphics. While most online converters just guess at shapes, Trazor calculates exact mathematical curves for every color layer separately. This means the lines are perfectly smooth and the colors stay exactly where you want them. Because it works locally on your computer, your private designs never leave your device. It is a clean, precise way to get professional quality vectors from simple pictures, all from your desktop.

📰 https://news.ycombinator.com/item?id=49410743

🆔 @hackernewsgithubprojects

📦 danieljvdm/effect-agent

Effect Agent: The TypeScript Agent That Actually Works

Effect Agent is the TypeScript framework that finally makes your AI agents behave like reliable software instead of unpredictable scripts. You define exactly what goes in and what must come out, and it validates the result against your rules before you ever see it. It handles the messy parts of running tools, manages streaming updates, and keeps everything typed so you know exactly where things stand. This means your agents can plan trips, browse the web, or review code without crashing or hallucinating data. If you are building serious bots in JavaScript, this is the structure you have been missing.

📰 https://news.ycombinator.com/item?id=49580141

🆔 @hackernewsgithubprojects

📦 nvlabs/sol-pi

SoL-Pi Makes Coding Agents Smarter and Cheaper

Sol-Pi is the coding agent extension that makes your AI tools cheaper without making them dumber. It fixes the annoying habit of coding bots where they re-read huge logs and repeat the same steps over and over. The coolest part is how it bundles a file edit and its check into one single move, so the computer doesn't have to pause and think again. It also squeezes messy data into neat summaries so your agent stops wasting money on useless context. It plugs right into your existing setup without changing anything underneath. Basically, it helps your AI work smarter and save you cash.

🆔 @hackernewsgithubprojects

📦 nvlabs/enpire

ENPIRE: The Robot That Codes Its Own Brain

NVIDIA's ENPIRE lets an AI coding agent physically test its own robot code to fix errors. Usually, engineers write logic and hope it works in the real world. Here, the software agent actually drives the robot, watches it fail, and rewrites its own instructions to try again. It repeats this physical trial and error cycle until the task succeeds. This loop allows robots to learn from reality instead of just simulation. You get a system that improves itself through tangible physical proof rather than digital guesses. If you want to know how agents handle real-world hardware, this is the project to watch.

🆔 @hackernewsgithubprojects

📦 miaai-lab/qwen3.8-27b-16gb-nvidia-gpus-one-click-install

Run a 27B AI on One GPU

Run a massive twenty-seven billion parameter language model on a single consumer graphics card. This kit takes a huge artificial intelligence brain and squeezes it into your existing hardware, so you get enterprise-level intelligence without buying a data center. It automatically detects your specific card, downloads the right compressed version of the model, and sets up everything you need to start chatting immediately. You get a clean interface to talk to the AI and a standard connection point for your other favorite tools. It handles the complicated technical setup behind the scenes, meaning you just double-click and go. It works on both Windows and Linux with the same easy experience.

🆔 @hackernewsgithubprojects

📦 olafkfreund/nixarchy

Nixarchy: The NixOS Way

Nixarchy packages the entire Omarchy desktop environment as a single NixOS derivation. It does not re-implement the system in Nix code; it vendors the upstream tree and packages it directly. This means you get the full, unmodified Omarchy experience with native NixOS support. No compatibility layers, no manual patching, just the real thing. You can install it on a blank disk, manage it with standard Nix tools, and still have access to the complete Omarchy feature set. It is the cleanest way to run Omarchy on NixOS. If you want the stability of Nix and the polish of Omarchy, this is the project to watch.

🆔 @hackernewsgithubprojects

📦 smithersai/smithers

Smithers: Your Codebase's New Copilot

Smithers is the workflow framework that finally makes AI coding agents actually useful for your specific codebase. It lets you define exactly how those agents should plan, run, and review changes using simple TypeScript files right next to your code. Instead of just chatting with a bot, you build durable, reliable workflows that automate the heavy lifting. It is basically a way to teach your AI helpers to work smarter, faster, and cheaper by giving them a clear map of your project. If you are tired of generic AI answers, this is the tool that gives them context and structure.

🆔 @hackernewsgithubprojects

📦 station-sciences/bot-crossing

Bot Crossing

Bot Crossing turns your scattered coding agent sessions into a tiny, living space colony. Every active thread becomes an astronaut that walks out of the ship, claims a plot, and builds a structure. The map stays fixed so you can learn the layout, and the astronauts only show badges when they actually need you, which cuts through the noise of silent background tasks. It reads local files to track status, so nothing uploads and no accounts are required. If an agent is stuck, it holds up a question mark until you click it and jump back into the app.

🆔 @hackernewsgithubprojects

📦 agentdesktop-dev/agentdesktop

Agentdesktop: Control AI Tools

Agentdesktop is the open-source layer that finally gives companies control over every AI tool on their employees' computers. It solves the messy problem of tracking which coding assistants are installed, what settings they use, and how they connect to model servers, all without stealing your private code. The standout feature is its ability to manage settings natively for tools like Claude Code and Cursor, meaning it can safely apply security rules directly into each app's own configuration file. This works on Windows, macOS, and Linux, letting IT teams enforce safety standards without forcing developers to switch tools.

📰 https://news.ycombinator.com/item?id=49604626

🆔 @hackernewsgithubprojects

📦 agricidaniel/youtubepro

YouTube Pro: Local-First AI Research

YouTube Pro runs entirely on your own machine, which means your API keys and project data never leave your computer. It connects directly to the YouTube Data API to pull real performance metrics from up to fifty videos, then feeds that exact snapshot into Gemini for analysis. The surprising part is that every AI insight is tied to specific source video IDs, so you can verify where every claim actually comes from instead of trusting a generic summary. This workflow covers the whole process, from finding data-backed ideas to writing the script and generating the thumbnail.

🆔 @hackernewsgithubprojects

📦 codejunkie99/agentic-stack-desktop

Agentic Stack: Give Your Coding Agents a Shared Brain

Agentic Stack solves the biggest headache of using multiple AI coding tools: they all forget what the other ones learned. This native macOS app acts as a single shared memory hub for Claude Code, Codex, OpenCode, and Cursor. Instead of starting from scratch every time you switch tools, it builds one local knowledge graph from your past conversations. That means you can ask your current agent to recall what you discussed weeks ago in a completely different editor. Your data never leaves your machine, and you stay in full control. It turns your scattered chats into one continuous, searchable brain that actually remembers your project.

🆔 @hackernewsgithubprojects