📦 adonis-singh/re4

re4: The GameCube Classic, Fully Rebuilt

re4 is the decompilation that turns a GameCube classic back into readable code. Most games stay locked inside their binaries forever, but this project reverses the process, translating the compiled machine instructions back into the original human-written source. The result is byte-identical, meaning the recompiled version behaves exactly like the original, down to the last bit. It is a massive feat of reverse engineering, peeling back the layers of a complex title to reveal how the camera, combat, and audio actually work under the hood. You are not just looking at a patch; you are seeing the full skeleton of a commercial product laid bare.

📰 https://news.ycombinator.com/item?id=49778022

🆔 @hackernewsgithubprojects

📦 typesafe-ai/skills

The AI primitive

TypeSafe just handed your codebase a brain that actually understands context. This repository gives AI coding agents a new superpower called skills. Instead of asking a chatbot to guess what to do, you get tiny, focused units of intelligence. These units read your data and return structured answers with confidence scores. Your code stays in control, but the AI supplies the common sense. It handles routing, extraction, and verification without the messy back and forth of traditional prompts. This turns semantic understanding into a clean programming primitive. It is a clever way to build smarter apps that feel less like magic and more like engineering.

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📦 samuelcardillo/glm-5.3-flash-2x-rtx-pro-6000-blackwell

Run One Million Token AI Locally

The glm five point three flash recipe is the local setup that finally handles one million tokens without crashing. It solves the problem of massive context limits by teaching two high-end graphics cards to work together on a single huge document. Instead of just storing data, it uses a smart prediction trick to generate new words faster. You can feed it sixteen images and a novel-length text in one go. The repository provides exact instructions to build this powerful, private server. You get enterprise-grade memory handling without sending your data to the cloud. It is a reliable way to run top-tier artificial intelligence on your own desk.

🆔 @hackernewsgithubprojects

📦 rolecraft-sh/rolecraft

RoleCraft: The Security-First Skill Manager

RoleCraft scans every single AI skill you install for hidden threats like prompt injection and credential theft before it touches your system. Most developers install these skills blindly, trusting that a popular repository is safe, but RoleCraft changes that by running a static analysis check on every download. It gives each skill a security score from zero to one hundred. If the score is high, it installs. If it’s low, it blocks the install entirely. This makes it a crucial safety net for anyone using tools like Cursor or Claude Code, ensuring you never accidentally run malicious code. It’s a zero-dependency tool that just works.

🆔 @hackernewsgithubprojects

📦 cgallic/kai-cmo-harness

Kai CMO: Your AI Marketing Team

Kai CMO is a full marketing department that runs entirely inside your code editor. It plugs directly into Claude Code to handle every part of your growth, from writing blog posts and running ad campaigns to analyzing your website traffic. The coolest part is that it acts as a living expert, constantly checking its own work against the latest marketing trends and platform rules to make sure it isn't giving you outdated advice. If you are a developer who wants to handle your own marketing without hiring a whole agency, this is your answer.

🆔 @hackernewsgithubprojects

📦 zju-real/sdar

SDAR: The AI That Learns By Watching Itself

SDAR lets a language model teach itself how to act by learning from its own past mistakes, which is a big deal because it means the AI does not need a human to constantly correct it. Instead, it uses a trick called self-distillation, where the model reviews what it did before and uses that experience to make better choices next time. This is useful because it helps the AI get much better at doing things like searching for answers, shopping online, or navigating a virtual house, all by practicing on its own.

🆔 @hackernewsgithubprojects

📦 openma-ai/open-managed-agents

Open Managed Agents: Your Own AI Control Center

The single most surprising thing about this project is that it lets you run a full, multi-agent AI platform directly on your own server, completely free of vendor lock-in. Open Managed Agents is an open-source toolkit that gives you total control over how artificial intelligence executes tasks. Instead of relying on a single cloud provider, you choose the specific models, execution environments, and security boundaries for every job. It solves the problem of dependency by allowing you to self-host the entire infrastructure, from the agent logic to the secure sandboxes where code runs. This means you own the data and the workflow, not the platform.

🆔 @hackernewsgithubprojects

📦 wuyoscar/jev-skill

Jev Skill: Teach Your AI Agent to Decide

Your coding agent can now make complex decisions about which tool to use, how to triage a bug, or which file to inspect before it writes a single line of code. Jev Skill is a collection of specialized instructions that you can drop into your coding agent. Instead of guessing, the agent follows a specific workflow to analyze the task, check the context, and pick the right action. It turns a general purpose AI into a focused expert that knows exactly when to ask you for help and when to proceed on its own. You stop micromanaging every step and let the agent handle the routine judgments.

🆔 @hackernewsgithubprojects

📦 danmcinerney/orchflows

Orchflows: Build Agent Workflows Once, Reuse Forever

Orchflows saves your entire multi-step AI process into a single editable text file that you can reuse forever. Most people describe their complex instructions to their coding assistant every single time they start a new session, but this tool changes that. It captures the exact steps, review gates, and stopping conditions into a simple markdown document. The truly surprising part is that these small saved procedures can be nested inside one another to build massive, complex operations without ever writing code. You define the work once, and the agent handles the rest. If you spend hours explaining your workflow to AI, this is the way to automate the setup.

📰 https://news.ycombinator.com/item?id=48960392

🆔 @hackernewsgithubprojects

📦 nasone32/llama.cpp-rdna3-7900xtx-opt

llama.cpp RDNA3 7900 XTX Opt: Squeeze Max Speed Out Of Your AMD GPU

llama.cpp RDNA3 7900 XTX Opt is the local AI build that finally squeezes real speed out of your AMD graphics card without needing a data center. Most people think consumer graphics cards are too slow for serious language models, but this project proves them wrong by treating your video memory like it belongs in a server. It stops pretending your card setup is a single, slow pipe and instead makes two graphics cards talk directly to each other to share the heavy lifting. This means you can run massive, complex AI models on your own desk with speeds that used to require expensive enterprise hardware.

🆔 @hackernewsgithubprojects

📦 89luca89/clampdown

The Sandbox That Locks Down AI

Clampdown is the container tool that keeps rogue AI agents from touching your secrets. It treats coding bots as untrusted guests, locking them in a hardened cage where they can only see their current project. Even if a prompt injection tries to trick the agent into stealing your API keys, it only gets a dummy token. The real credentials stay safely tucked away in a separate proxy, so the bot can call the cloud but never touch your actual bank account. If you let AI write code on your machine, this is the safety net you need to sleep well at night.

🆔 @hackernewsgithubprojects

📦 omacom/try-omarchy-windows

Run a Full Linux Desktop in a Windows Window

Try Omarchy for Windows turns your standard Windows machine into a host for a complete, high performance Linux desktop running inside a single application window. The most surprising capability is that it renders the entire operating system directly onto your physical graphics card without requiring dual boot, virtual machine software, or partition changes. It achieves this by leveraging Windows built in hypervisor to boot a preconfigured image, delivering smooth visuals and instant access to a modern interface. You simply download one small file, grant permission for a one time restart, and let the tool handle the rest. No complex setup or technical knowledge is needed.

📰 https://news.ycombinator.com/item?id=49780980

🆔 @hackernewsgithubprojects

📦 harnessrouter/starter-kit

Starter Kit

Build a working spreadsheet, a presentation, or even a playable Mario game, all driven by AI agents running behind the scenes. This repository gives you fully functional products that turn a simple chat into real, usable files, like a slide deck you can edit or a database dashboard that updates live. The coolest part is a game where an AI plays a browser platformer by making rapid decisions, not just looking at pixels. You get a ready-made backend that handles the heavy lifting, so you can focus on the app itself. It is a fantastic way to see how modern agents actually work in a product you can touch.

🆔 @hackernewsgithubprojects

📦 ghuntley/underclass

One Endpoint, Many AI Subscriptions: Underclass Explained

Pool multiple AI subscriptions into a single endpoint with underclass. This local proxy combines ChatGPT and Copilot accounts so your tools see one powerful provider. The standout feature is smart session pinning; it keeps your conversation on the same account to preserve expensive prompt caches. If a subscription hits its limit, underclass cools it down automatically until it resets. When everything is exhausted, it fails fast with the earliest reset time instead of hanging. Point any compatible client at this proxy to stop worrying about individual account quotas. It is a simple way to maximize your existing subscriptions.

📰 https://news.ycombinator.com/item?id=49774704

🆔 @hackernewsgithubprojects

📦 hacker-valley-media/interceptor

Interceptor: Give AI Your iPhone and Mac

Interceptor lets a single AI agent physically operate your signed-in browser, your native Mac applications, and even a real iPhone through one unified command line. The surprising capability is that it doesn't just look at screen pixels; it reads the internal structure of apps and websites, allowing it to click buttons, type text, and inspect data in the background while you keep working. This solves the problem of brittle automation by giving the agent a structured view of your actual digital life, from your personal accounts on the web to specific settings on your phone.

🆔 @hackernewsgithubprojects

📦 sepiablue-ai/comfyui-minimax-h3-w4a4-vsa

Making Video AI Fit on Your Laptop

A single twelve gigabyte graphics card can now generate high-resolution video with sound in just three and a half minutes. This ComfyUI plugin makes that happen by drastically shrinking the math required for the MiniMax H3 model. It converts massive weight files into a compact format and streams data to your GPU only when needed, solving the memory bottleneck that usually requires expensive enterprise hardware. You simply run a setup script to prepare your system and plug the workflow into your existing editor. No massive downloads or complex manual configuration are required, making advanced video generation accessible for home users.

🆔 @hackernewsgithubprojects

📦 zai-org/zcode

ZCode: The AI Coding Workspace

Take control of your coding workflow with an AI assistant that lives right where you work, whether that is a polished desktop app, a browser tab, or a simple terminal command. ZCode bundles its own terminal interface, web client, and the underlying agent runtime into one cohesive package, so you are not stitching together fragmented tools to get your code written. Instead of juggling separate scripts and servers, you get a unified environment where the agent can read your files, run commands, and help you iterate directly in the interface you prefer.

📰 https://news.ycombinator.com/item?id=49782006

🆔 @hackernewsgithubprojects

📦 logicrw/awesome-jev-projects

How Awesome Jev Maps the Agent Ecosystem

Every project in Awesome Jev is verified by checking the actual source code, not just the description. It is a directory for System-1 Agent architectures that helps developers find, understand, and compare real open-source tools. The site solves the problem of noise in the fast-moving AI world by requiring every entry to have identifiable implementation evidence at a specific commit. This means you can trust the data behind each project, including its license and how it actually makes decisions. It is built with a clean, tactile design and supports multiple languages, making it a reliable radar for finding the right tools for your needs.

📰 https://news.ycombinator.com/item?id=49782061

🆔 @hackernewsgithubprojects

📦 thrixel/build-world

Build World: Vibe Code 3D Games

Build World is the AI skill that turns plain English prompts into playable 3D worlds without writing code. It connects your favorite coding agent to Thrixel, a service that generates high-quality 3D assets while your agent handles the logic and interactions. The result is a full interactive experience like a submarine game or historical simulation, built from a single sentence. This workflow works across major engines like Three.js and Unity, letting you vibe out complex scenes and refine them with simple follow-up requests. It is a surprisingly easy way to go from idea to a live, shareable 3D experience in your browser.

🆔 @hackernewsgithubprojects

📦 jexp/neo4jev

neo4jev

neo4jev is the graph navigation tool that uses structured logic instead of unpredictable text models to find the perfect path through data. By tapping into a specialized decision-making interface, it navigates complex databases like Neo4j one single hop at a time. Instead of guessing the next step with conversational language models, it evaluates actual neighboring connections and target properties to calculate real mathematical probabilities for every possible direction. It even packs goal-checking questions into that very same step to keep things fast and efficient. Whether you are looking for a specific destination or mapping out hidden relationships, this tool transforms chaotic graph traversal into a smart, predictable beam search.

🆔 @hackernewsgithubprojects