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📦 git-pkgs/brief
Brief: The Ultimate Project X-Ray Tool
Turn any codebase into a clear, instant report with Brief. It scans a project to find the language, package manager, test runner, and linter, then outputs a structured summary. This is built specifically for AI coding agents and new contributors who need to understand a project's conventions without reading every file. The most impressive part is the outline command, which packs your source tree into a single, compact document. It strips out function bodies and keeps only the signatures and imports, giving an LLM a perfect, token-friendly map of your code. It also tells you exactly which tools are missing from your setup.
🆔 @hackernewsgithubprojects
Brief: The Ultimate Project X-Ray Tool
Turn any codebase into a clear, instant report with Brief. It scans a project to find the language, package manager, test runner, and linter, then outputs a structured summary. This is built specifically for AI coding agents and new contributors who need to understand a project's conventions without reading every file. The most impressive part is the outline command, which packs your source tree into a single, compact document. It strips out function bodies and keeps only the signatures and imports, giving an LLM a perfect, token-friendly map of your code. It also tells you exactly which tools are missing from your setup.
🆔 @hackernewsgithubprojects
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📦 wfzyx/von
Von: Instant AI Decisions
Classify complex support tickets in under fifteen milliseconds without waiting for a giant language model to type out its thoughts. Von is a local, open-source tool that makes instant, probabilistic decisions by analyzing your data in a single pass rather than generating text word by word. It handles tricky tasks like routing urgent issues or detecting secret leaks with high accuracy, all while running right on your own machine. The best part is that it answers multiple distinct questions about the same input simultaneously, saving you from slow back-and-forth calls. If you need rapid, reliable logic for your apps, this is the lightweight engine you have been looking for.
🆔 @hackernewsgithubprojects
Von: Instant AI Decisions
Classify complex support tickets in under fifteen milliseconds without waiting for a giant language model to type out its thoughts. Von is a local, open-source tool that makes instant, probabilistic decisions by analyzing your data in a single pass rather than generating text word by word. It handles tricky tasks like routing urgent issues or detecting secret leaks with high accuracy, all while running right on your own machine. The best part is that it answers multiple distinct questions about the same input simultaneously, saving you from slow back-and-forth calls. If you need rapid, reliable logic for your apps, this is the lightweight engine you have been looking for.
🆔 @hackernewsgithubprojects
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📦 himovo/movo
MOVO
Movo is the self-hosted platform that turns a single AI agent into a managed enterprise tool. Instead of just chatting with a model, it gives your team a shared workspace where they can search internal documents, draft reports, and generate files. The surprising part is how it handles real files. It does not just read text. It understands charts and tables inside PDFs and spreadsheets, then uses that context to write new documents back. You can run this entire system on your own hardware with a single command. It keeps your data private and gives admins full control over who sees what.
🆔 @hackernewsgithubprojects
MOVO
Movo is the self-hosted platform that turns a single AI agent into a managed enterprise tool. Instead of just chatting with a model, it gives your team a shared workspace where they can search internal documents, draft reports, and generate files. The surprising part is how it handles real files. It does not just read text. It understands charts and tables inside PDFs and spreadsheets, then uses that context to write new documents back. You can run this entire system on your own hardware with a single command. It keeps your data private and gives admins full control over who sees what.
🆔 @hackernewsgithubprojects
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📦 video-rebirth/hyperflow
HyperFlow: 8-Step Video Magic
HyperFlow is the video accelerator that cuts generation time by nearly thirty percent without swapping out your base model. Usually, creating video and audio with MiniMax requires forty-nine slow passes to refine every frame, which takes forever. HyperFlow drops that to just eight passes using a lightweight adapter that teaches the original model to work smarter, not harder. It keeps the official quality but makes rendering three times faster on standard hardware. If you are generating video clips, this is the shortcut you need to stop waiting around for results.
📰 https://news.ycombinator.com/item?id=49756840
🆔 @hackernewsgithubprojects
HyperFlow: 8-Step Video Magic
HyperFlow is the video accelerator that cuts generation time by nearly thirty percent without swapping out your base model. Usually, creating video and audio with MiniMax requires forty-nine slow passes to refine every frame, which takes forever. HyperFlow drops that to just eight passes using a lightweight adapter that teaches the original model to work smarter, not harder. It keeps the official quality but makes rendering three times faster on standard hardware. If you are generating video clips, this is the shortcut you need to stop waiting around for results.
📰 https://news.ycombinator.com/item?id=49756840
🆔 @hackernewsgithubprojects
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📦 0xsero/deepseek-v4.1-flash-4x-rtx-pro-6000
DeepSeek V4.1 Flash: One PC, Four GPUs, Four Million Tokens
DeepSeek V4.1 Flash runs on a single Linux box with four RTX Pro 6000 Blackwell GPUs, handling over four million tokens without a second server. It keeps the heavy compute on the graphics cards while shunting the massive memory tables to a local drive, grabbing data only when needed. You get eight simultaneous chat sessions with vision support and no cloud dependency. It is experimental, but it proves you can run frontier-grade models locally on one machine. If you want to run big AI without renting a data center, this is your proof of concept. One machine, real speed, no cloud.
🆔 @hackernewsgithubprojects
DeepSeek V4.1 Flash: One PC, Four GPUs, Four Million Tokens
DeepSeek V4.1 Flash runs on a single Linux box with four RTX Pro 6000 Blackwell GPUs, handling over four million tokens without a second server. It keeps the heavy compute on the graphics cards while shunting the massive memory tables to a local drive, grabbing data only when needed. You get eight simultaneous chat sessions with vision support and no cloud dependency. It is experimental, but it proves you can run frontier-grade models locally on one machine. If you want to run big AI without renting a data center, this is your proof of concept. One machine, real speed, no cloud.
🆔 @hackernewsgithubprojects
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📦 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
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
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📦 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.
🆔 @hackernewsgithubprojects
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.
🆔 @hackernewsgithubprojects
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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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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
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📦 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
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