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πŸ“¦ miaai-lab/deepseek-v4-flash-one-dgx-spark

DeepSeek-v4-Flash-One-DGX-Spark

This repository turns a single NVIDIA DGX Spark into a fully functional, on-device AI server without needing the cloud. It wraps the DwarfStar four engine, a lean C and CUDA tool, into simple start and stop scripts that handle the heavy lifting like downloading eleven-gigabyte model weights and building the server in one go. Instead of wrestling with complex configurations, you just run one command and get a local OpenAI-compatible interface ready to go on port eight eight eight eight. It skips standard tools like vLLM because this setup needs a specific engine to run its unique model efficiently.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ agentswarms-fyi/agentswarms

AgentSwarms: Build Your Own AI Swarm Platform

Deploy your own AI platform that lets you build intelligent agents and orchestrate them into coordinated swarms. AgentSwarms brings together business intelligence and multi-agent automation into one self-hosted workspace. You get a visual canvas to design agent workflows, connect your own data sources, and run queries directly against your databases. The real magic is watching multiple agents collaborate, share knowledge, and execute complex tasks while you monitor every move through detailed execution traces. It gives you full control over your models, data, and infrastructure without locking you into a specific cloud provider.

πŸ“° https://news.ycombinator.com/item?id=49103784

πŸ†” @hackernewsgithubprojects
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πŸ“¦ micro/mu

Mu: Real Tools for Agents

Mu turns the messy internet into a clean toolkit for your AI assistant. Instead of just chatting, the agent can actually read your email, check weather, search news, and manage your calendar because it controls real servers, not just API wrappers. It gives both humans and machines access to the same live data through one simple connection. You can run it yourself or use their cloud, and it even handles payments in cryptocurrency. It is basically a digital assistant that actually has hands to grab things.

πŸ“° https://news.ycombinator.com/item?id=49148899

πŸ†” @hackernewsgithubprojects
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πŸ“¦ syncular/syncular

Syncular Offline SQL Sync

Syncular lets your app run fully offline by keeping a real SQLite database on your device and syncing changes when you reconnect. Instead of guessing about data, it uses a strict server log to decide the truth, so conflicts disappear automatically. You get local speed for every query while staying in sync across phones, browsers, and desktops. It handles encryption, works with React, and even supports Flutter or Swift. Your data stays fast and safe, no internet required.

πŸ“° https://news.ycombinator.com/item?id=49142794

πŸ†” @hackernewsgithubprojects
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πŸ“¦ local-inference-lab/blackwell-llm-docker

Blackwell LLM Docker

This repository provides ready-to-use Docker containers that run massive AI models on the newest NVIDIA Blackwell GPUs, bridging the gap between powerful new hardware and popular open-source inference tools. While setting up deep learning environments on these specialized chips can be notoriously difficult, this project simplifies the process by bundling complex libraries like SGLang and vLLM with custom optimizations for the specific GPU architecture. It handles the tricky parts, such as compiling source code and configuring communication protocols, so you can start generating text or images immediately without spending days on system administration.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ garagehq/nightcrawler

Nightcrawler: The Phone That Pentests Networks

Drop a modified OnePlus phone on a network and walk away. Nightcrawler uses a tiny local AI running entirely on the device's graphics chip to autonomously hunt for vulnerabilities without any internet connection. It acts like a patient security tester, slowly mapping out connected devices and probing for weak spots over several hours. The clever part is the stealth approach: it moves slowly, blends in with normal traffic, and never blasts the network, making it much harder to detect than standard scanning tools. A safety layer ensures it only tests areas you explicitly authorized, preventing accidental chaos.

πŸ“° https://news.ycombinator.com/item?id=49154127

πŸ†” @hackernewsgithubprojects
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πŸ“¦ devsforge/marketplace

Claude Code Marketplace

Plug in over a hundred specialized expert profiles to instantly transform Claude Code from a simple chatbot into a full virtual development team. You get dedicated specialists for everything from legal compliance and security auditing to mobile app design and database tuning, all working inside your terminal without adding any external dependencies. Instead of guessing which tool to use, you just ask the right expert to handle the heavy lifting, whether you need a rapid prototyper for new ideas or a senior architect to review complex systems. It turns a generic coding assistant into a complete, enterprise-grade workspace with curated plugins that actually understand your specific project needs.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ spences10/my-pi

My Pi: The Coding Agent That Finally Keeps Track of What It Does

My Pi is the coding agent distribution that finally turns chaotic AI help into a transparent, trackable workflow. Most coding assistants just guess and hope, but this one ships with a live dashboard that records every thought, decision, and error in real time, so you can actually see what is going on instead of guessing. It also bundles tools to safely hide secrets, coordinate between multiple agent sessions, and enforce coding standards before bad code ever touches your files. Instead of installing a dozen different plugins, you get this complete, ready-to-run setup that works right out of the box.

πŸ“° https://news.ycombinator.com/item?id=48690629

πŸ†” @hackernewsgithubprojects
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πŸ“¦ vercel-labs/marketing-team-eve-template

Marketing Team Eve Template

Get a whole marketing crew working for you by dropping a request into a team lead that knows exactly who to delegate to. Instead of one AI trying to do everything, this template sets up a product marketer, a content writer, an SEO expert, a social media coordinator, and an email specialist, each with their own skills and tools. You bring the task, like a blog post or a newsletter, and the lead routes it to the right specialist who writes the draft, checks it against brand guidelines, and hands it back ready for you to approve.

πŸ“° https://news.ycombinator.com/item?id=49150225

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jaineet17/causal-agent-replay

Find the Exact Step That Broke Your Agent

Causal agent replay lets you pinpoint exactly which step caused an LLM agent to fail by rewinding the decision and running it again. Instead of just watching a trace, you intervene on specific moments to see if the bad outcome changes. If changing that step fixes the result while later steps do nothing, you’ve found the true cause. It’s like time-travel debugging for AI, using math to prove where the error actually happened so you can fix it for real.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ estebanpdn/zelda-alttp-3ds

Zelda A Link to the Past on 3DS

Play a classic Nintendo adventure on your handheld by using this clever port that brings the beloved Zelda sequel to life on the Nintendo three dimensional system. The repository takes the original two-dimensional masterpiece and adapts it for the console’s unique dual screen layout so the gameplay feels fresh yet familiar. You get to explore the same magical world with enhanced visuals that fit perfectly in your hands without losing the charm of the original. It is a neat piece of fan-made engineering that proves old games can still feel brand new when given the right hardware.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ canivibecodeit/canivibecodeit

Can I Vibecode It?

Canivibecodeit is the directory that finally kills your SaaS bills with one AI prompt. It answers whether you can replace paid subscriptions like scheduling apps or analytics tools with a single, copy-paste instruction for an AI coding agent. Instead of vague advice, it gives you a concrete verdict, the exact code to build a personal version, and an honest list of what functionality you actually lose in the process. Think of it as a utilitarian death list for monthly expenses, where traffic-light badges tell you instantly if a service is truly replaceable.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pfcdev/taskbarwidgets

Taskbar Widgets

Taskbar Widgets places live, customizable mini-apps directly on your Windows 11 taskbar without replacing the system shell. It solves the frustration of cluttered desktops by letting you add real-time system monitors, weather updates, and media controls right where your mouse lives. You can drag these widgets to any position, arrange them side by side, or make them rotate automatically. The best part is the Parking Lot feature, a tiny shelf where you drop files, links, or text to carry them between apps later. It keeps your workflow close and your desktop clean, giving you quick access to the data you actually need without opening heavy windows or extensions.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ qwen-code-dev-bot/oh-my-cli

oh-my-cli: The Self-Driving Terminal Assistant

oh-my-cli is a terminal assistant that actually fixes code for you instead of just suggesting it. It connects to an open ai compatible model to autonomously read your files and run shell commands to complete tasks like refactoring or debugging. You simply give it a goal in plain english and watch it navigate your project directory, edit files, and run tests without you lifting a finger. It is fascinating because it handles the messy parts of development while keeping you in control through a clear approval system. You get to see exactly what it changes and can hit undo if it goes off track.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ genspark-ai/genoffice

GenOffice AI Office Suite

GenOffice lets you edit Word, Excel, PowerPoint, and PDF files while an AI agent actively rewrites your content instead of just chatting at you. The coolest part is how it handles your original documents. It opens a file, keeps the untouched parts exactly the same bytes, and only regenerates the specific paragraphs the AI changed. This means you can save and reopen the file later without breaking the layout or losing your formatting. It works the same way for spreadsheets and slides, patching only what needs updating while leaving the rest of your data alone.

πŸ“° https://news.ycombinator.com/item?id=49157441

πŸ†” @hackernewsgithubprojects
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πŸ“¦ wie-project/kakehashi

Run macOS Apps on Linux ARM64

Kakehashi lets you run macOS command line tools directly on Linux ARM64 without needing a Mac. It works like a translator that reads macOS binaries and makes them behave on Linux, handling the differences in how files and systems work. You can install tools like curl or 7zip and run them on a Linux machine as if they were native. This is super useful because you can use cheaper Linux servers for tasks that usually need expensive macOS hardware. It is not perfect speed-wise but it opens up new ways to use your Linux setup for macOS workflows.

πŸ“° https://news.ycombinator.com/item?id=49145937

πŸ†” @hackernewsgithubprojects
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πŸ“¦ notatestuser/ds4-control

Run Massive AI Models on Mac

Control a local DeepSeek V4 model right from your Mac menu bar without touching the command line. This app acts as a smart pilot for your computer’s brain, letting you pick between a super-smart but heavy Pro variant or a faster Flash version based on how much RAM you actually have. It automatically handles downloading the massive model files, keeps an eye on your GPU and memory usage with cute little widgets, and even lets you chat or write code with it instantly.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ patchy631/time-to-first-token

The 10-Week Roadmap to LLM Inference

The Time to First Token project transforms abstract machine learning theory into a concrete production skill in ten weeks. It guides you to build a single OpenAI-compatible inference service that grows stronger each session rather than running disjointed experiments. You deploy a model, instrument it with real-time metrics, and stress-test it against thousands of simultaneous users. The roadmap then teaches you how to optimize that same service using quantization, speculative decoding, and cost-aware routing. This structured approach saves setup time and leaves you with a reproducible benchmark and a serving stack you actually configured. It is the clearest path from reading about AI to shipping it.

πŸ“° https://news.ycombinator.com/item?id=49158330

πŸ†” @hackernewsgithubprojects
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πŸ“¦ yan5xu/codexloom

CodexLoom: AI Agents That Remember

CodexLoom is the local-first AI environment that finally gives your code assistants permanent memory and long-term responsibility. Instead of losing context every time you start a new chat, CodexLoom turns a single conversation thread into a durable Domain Agent that keeps its history, personality, and accumulated knowledge forever. You can then organize multiple specialized agents into a governed team where they collaborate through bounded messages and handoffs, much like colleagues in a real company. It also lets these agents interact with you directly in Slack or Feishu through an Interface Agent, bridging your AI workspace with your daily tools.

πŸ“° https://news.ycombinator.com/item?id=49159174

πŸ†” @hackernewsgithubprojects
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πŸ“¦ xlang-ai/qwen-cua

Qwen-CUA: An AI That Actually Uses Your Computer

Take a screenshot, ask a question, and watch Qwen-CUA actually use your mouse and keyboard to get the job done. This open-source project creates an AI agent that operates your computer just like a human does, relying entirely on what it sees on the screen rather than hidden code or system access. It reasons through visible interfaces, clicks buttons, types text, and drags elements without needing special APIs or developer tools. The standout feature is its remarkable visual memory, which tracks dozens of recent screenshots to handle complex, multi-step tasks without losing its place.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ace-step/ace-step-1.5

Ace-Step 1.5: The Local Music Generator

Ace-Step 1.5 is the open-source music model that finally lets you generate radio-quality songs right on your own laptop without relying on cloud subscriptions. Think of it as a digital composer sitting inside your computer, capable of turning a simple text prompt like "upbeat jazz with saxophone" into a full, structured track with lyrics and instrumentation in just a few seconds. It handles everything from short loops to ten-minute compositions and even lets you tweak the mood or rewrite the lyrics after the fact.

πŸ†” @hackernewsgithubprojects