📦 reactor-team/infinite-livestream

This AI Stream Never Stops

Stream an endless AI video show where viewers literally dictate the plot. The project takes a simple chat message, turns it into a script, and renders real video with audio using a powerful model. The coolest part is that the stream never cuts out. It runs continuously, filling gaps with filler content until your viewer's request is ready, creating a broadcast that feels alive and reactive. It’s a neat way to see how we can merge live audience interaction with generative video tech. Try it out and see how your ideas become a scene in real time.

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📦 krispuckett/murmur

Murmur: AI Orbs That Breathe

Murmur renders living glass orbs in Swift that physically react to your voice and typing. It is a collection of parametric shaders, not static icons, so the visuals change shape based on real-time signals. This tool solves the problem of boring, flat loading states by giving your app a dynamic presence. You can switch between eighteen unique glass styles, like ink, water, or auroras, and they all animate smoothly at sixty frames per second. The package is designed to drop into your code with a single view, requiring no external assets. It turns a simple waiting indicator into a responsive companion that feels alive.

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📦 hash-7777/hashcortx

HashCortx: The Local AI Workspace

HashCortx bundles a full autonomous coding agent, 3D model builder, and finance tool into a single desktop app that runs entirely on your machine. No servers, no accounts, just code. The most surprising part is that it includes a real Python sandbox and a coding agent that can actually edit your files and run commands, but it is strictly locked down by a Rust permission guard. This means the AI can't sneak data out or mess with sensitive system files without your explicit permission. It handles everything locally, even running offline models, so your work stays private.

📰 https://news.ycombinator.com/item?id=49516181

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📦 amancode22/deeperseeker

DeeperSeeker: Your DeepSeek Account as an OpenAI API

DeeperSeeker is the local server that turns your existing DeepSeek web account into a fully compatible OpenAI and Anthropic API gateway. If you want to use DeepSeek’s powerful reasoning and vision capabilities with tools like Claude Desktop or your own Python scripts without paying for separate API credits, this is the bridge. It handles the complex session management, automatic rate limit recovery, and tool calling parsing for you, so you can just point your favorite apps at a simple local address.

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📦 8borane8/s2pipe

Play Switch 2 from Your Browser

Your Nintendo Switch two can actually run as a free cloud gaming server inside your own home. This project, s2pipe, grabs the video signal from the console and streams it to your web browser using standard web technologies. The coolest part? A tiny Raspberry Pico chip acts as a bridge, turning keyboard inputs into four distinct USB gamepads that the Switch recognizes. No expensive subscriptions, no cloud fees, just your local network and some clever hardware wiring. If you have a Linux PC and a spare Pico, this is a surprisingly deep dive into how gaming hardware actually talks to your computer.

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📦 ahmadpiran/restoredrill

Prove Your Backups Work: restoredrill

restoredrill solves the awkward truth that untested backups are just hopeful data. It spins up a throwaway database container, restores your latest backup file, and runs your specific checks to see if the data is actually there. The real magic is the timestamped JSON report it generates. This file proves exactly when the restore happened and how long it took, giving you concrete evidence for compliance audits instead of just saying you did it. It turns a scary manual task into a single command with a clear pass or fail result. If you care about data safety, this tool gives you the receipts you need to sleep better at night.

📰 https://news.ycombinator.com/item?id=49465291

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📦 spark-arena/recipe-registry

Recipe Registry: Run AI Models in One Command

Recipe Registry is the collection of ready-made instructions that makes running large language models on NVIDIA DGX Spark devices shockingly simple. Instead of wrestling with container images, memory limits, or complex command lines every time you want to test a new AI model, you just type a single command. This repository holds the official, tested configurations that tell the system exactly how to launch and run those models so they actually work. It turns a tedious setup process into a quick, reliable action. No more guessing your settings. Just pick a recipe and let it handle the heavy lifting for you.

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📦 vectal-labs/agentic-productivity

Is Your AI Hype Actually Productive? This Mac Tool Tells The Truth

Agentic Productivity is a clever macOS tool that measures your actual output by tracking git commits and AI coding sessions over time. It quietly scans your local machine to count how many times you use agents like Claude Code or Cursor, comparing that activity against real code commits. Every morning, it sends you three simple charts to Discord, showing you if all that prompt typing is actually turning into shipped work. The privacy focus is strong, as it only shares daily totals and never leaves your specific prompts or file paths. It is a great way to check if you are just busy or genuinely building.

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📦 zz1358m/agentic-esopt

Agentic ESOpt: Fine-Tuning Agents Without Heavy GPUs

Agentic ESOpt fine-tunes large language models without needing massive GPU clusters. Traditional training methods store heavy data to update weights, but this project uses a simpler trick. It makes tiny random changes to the model and tests if those changes improve the agent's performance. If the score goes up, the system keeps the change. If not, it reverts. This means you can improve complex AI agents using the same amount of computer memory as just running them. It is a clever way to teach software new skills without expensive hardware. If you are working with AI agents, this memory-friendly approach is worth exploring.

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📦 evermind-ai/skillcorpus

SkillCorpus: The Secret to Smarter AI Agents

AI agents are failing at tasks they should be good at because they are missing specific, step-by-step instructions. SkillCorpus solves this by building a massive, searchable library of procedural knowledge harvested from open-source code. It curates these scattered skill files, filters out bad or unsafe code, and trains a model to find the exact right instruction for any given task. The result is a huge boost in performance, with agents improving by up to fifteen points on complex benchmarks just by having access to these vetted steps. It’s not about making the model bigger, but about giving it the right context at the right moment.

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📦 mfbulut/griplayer

Play Music with GriPlayer

Play your favorite music right from your computer using GriPlayer. It is a native desktop app that skips the usual heavy web browser wrappers to give you a fast, snappy experience. The coolest part is how it handles sound; you get a built-in equalizer with ten distinct bands to really shape your audio, plus a visualizer that reacts to the beat in real time. It supports high quality formats like flac and opus, so your songs sound exactly as they should. If you want a lightweight player that feels built specifically for your machine, this is the one to try. Grab it and see the difference for yourself.

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📦 tencentarc/pixal3d

Pixal3D: Turn Photos into 3D

Pixal3D is the image-to-3D generator that makes every pixel count. It doesn't just guess what your photo looks like in 3D; it mathematically traces each pixel back to its exact spot in space. This creates a 3D model that looks almost identical to the original picture, with sharp details and accurate materials. It solves the problem of blurry or wrong shapes you usually get from AI. If you want a realistic 3D asset from just one flat photo, this is the tool that gets it right. Stop settling for vague 3D guesses; start generating precise models from your photos today.

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📦 soumatheusgomes/vibe-coding-toolkit

Vibe Coding Toolkit: Real AI Dev Workflow

The Vibe Coding Toolkit is the AI coding workflow that stops treating your code assistant like a guessing game. Instead of hoping a large prompt produces the right result, this collection provides the exact structure to make an AI agent act like a real team member. The most fascinating part is how it organizes your coding sessions into parallel waves. By splitting work into independent streams, multiple agents can code at the same time without ever stepping on each other’s toes. This turns a chaotic chat window into a disciplined engineering process.

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📦 wishval/wamp

Wamp: Winamp Nostalgia on macOS

Wamp is the native macOS music player that faithfully recreates the classic Winamp interface. It is not a web wrapper or a browser app; it is built entirely from Swift code, ensuring it feels like a true Mac citizen with media keys and menu bar integration. The standout feature is its ability to load original Winamp skin archives, instantly transforming the entire app to look exactly like the late-nineties classic you remember, complete with bitmap fonts and custom colors. It also handles complex audio files properly, splitting long recordings into individual tracks with perfect timing.

📰 https://news.ycombinator.com/item?id=47692731

🆔 @hackernewsgithubprojects

📦 tailscale/tailscale-rs

Tailscale, but in Rust

The Tailscale team is writing their entire virtual private network client in Rust, and it already works with your existing Python, C, and Elixir code. This project lets you open secure, encrypted sockets to other devices on your private network without installing a heavy system-level agent. It handles the complex encryption and routing under the hood, so your application can just send data to a friend's computer as if it were on the same Wi-Fi. Because it is built as a library rather than a standalone app, you can embed secure networking directly into your own tools.

📰 https://news.ycombinator.com/item?id=49517953

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📦 leopard627/fire-your-seo-agency

Fire Your SEO Agency: AI Audit Skill

Replace your expensive monthly SEO retainer with a single AI agent skill that actually does the work. Fire Your SEO Agency audits your website across five distinct search lanes, including the specific requirements for Naver and modern AI answer engines that most global guides completely ignore. It reads your site exactly like a crawler does, fixes broken technical issues, and structures your content so AI systems can extract and cite your data accurately. The coolest part is that it refuses to stop at making changes; it schedules a re-measurement to prove the results with real numbers.

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📦 usail-hkust/dslighting

DSLighting: AI Data Science Assistant

Hand a plain English task and a messy spreadsheet to D S Lighting, and watch it write, run, and fix its own code until it gets the answer right. This tool acts like a tireless junior data analyst that never sleeps, automatically cycling through planning, coding, and self-correction so you don't have to manually debug every single line. It’s basically hiring a smart, instant assistant that lives entirely in your terminal, turning vague questions into working results without the usual back and forth of prompting. You get to focus on the insights while the software handles the tedious syntax.

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📦 tencent/contextpilot

ContextPilot: The AI That Cleans Its Own Desk

Make your AI agent smarter by teaching it to clean up its own memory. ContextPilot solves the problem of agents getting overwhelmed by too much information. Instead of letting a model drown in endless conversation logs, this tool trains it to actively organize, summarize, and forget useless details. It uses a clever reinforcement learning trick to figure out exactly which pieces of info matter, so the agent keeps a compact, focused workspace. This leads to better answers on long, complex tasks without needing massive amounts of raw data. It is a smart way to build agents that stay sharp, even when the conversation gets really long.

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📦 amap-ml/looparena

LoopArena: Testing AI Managers

LoopArena is the benchmark that finally measures which AI models make the best project managers. It tests a model acting as a controller guiding a separate coding agent through complex tasks, revealing who can actually steer the work. The twist is that the best model still succeeds on less than twenty-five percent of full tasks, proving that guiding AI is far harder than letting it code alone. If you care about AI reliability, this gap is exactly where the next breakthroughs will happen.

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📦 kingbootoshi/cartographer

How Cartographer Maps Your Codebase

Cartographer turns any codebase into a local, navigable map that AI agents can actually read. Instead of letting an LLM guess its way through your files, this tool spins up parallel subagents to analyze your code in parallel, then stitches their findings into a single, clear architecture document. It handles the heavy lifting of understanding dependencies and data flows, so you don't have to manually trace every file. The result is a living map of your project that updates as you make changes, giving your coding assistants precise context instead of vague guesses.

🆔 @hackernewsgithubprojects