📦 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.

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📦 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.

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📦 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.

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📦 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.

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📦 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.

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📦 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

📦 atomburstofficial/geiger

Geiger: Know Your AI Agents

A single command can now reveal every artificial intelligence tool quietly installed on your computer. Geiger acts as a safety detector for digital assistants, scanning your system to find hidden programs that have access to your files and private keys. It does not just list these tools; it warns you exactly what each one is capable of doing, such as running code or reaching the internet. This simple inventory helps you understand your digital footprint before something goes wrong. Knowing what is running on your machine is the first step toward keeping your data secure. Use this tool to take control of your digital environment today.

📰 https://news.ycombinator.com/item?id=49627646

🆔 @hackernewsgithubprojects

📦 galaxy-io/filament

Filament: The Self-Healing Data Pipeline

Filament moves data from apps to databases without losing a single record. It copies records in batches, checks that every batch landed correctly, and remembers exactly where it left off. If the system crashes, it just picks up right where it stopped, so no data disappears and nothing gets written twice. You can connect almost anything to anything else, from Slack to Stripe to Postgres. It handles the tricky parts like pausing, resuming, and checking that your data is actually there. You get a simple tool that does the heavy lifting of moving data around without you having to build your own complex logic.

📰 https://news.ycombinator.com/item?id=49611112

🆔 @hackernewsgithubprojects

📦 deepseek-ai/deepselect

DeepSelect: 20x Faster TopK for DeepSeek

DeepSelect makes picking the most important data points from a massive list up to twenty times faster than standard tools. It is the engine behind DeepSeek’s latest models, helping them decide which words to focus on and which to ignore in an instant. Think of it as a super-fast filter that sorts through thousands of options without breaking a sweat, turning a slow, heavy calculation into a quick, efficient scan. By optimizing this specific task, it helps these large AI models run smoother and faster. If you are building with next-gen language models, knowing that this kind of low-level speed boost exists is the real difference maker.

🆔 @hackernewsgithubprojects

📦 deepseek-ai/deepseek-recipe

What Is DeepSeek Recipe?

DeepSeek Recipe is the translation layer that finally stops your apps from speaking different languages. You know that annoying moment when your frontend sends one kind of message, but the AI model expects a completely different format? That’s where this library steps in. It takes those messy, varied API requests and turns them into the exact prompt structure DeepSeek models actually understand. Think of it as a universal adapter for your AI setup. Whether you are building a quick script or a complex server, it handles the heavy lifting of formatting so you can focus on the logic, not the syntax.

🆔 @hackernewsgithubprojects

📦 kevinzakka/mjbatch

mjbatch

A Go1 robot learning to walk on a five-year-old laptop takes less than a minute when you use mjbatch. This Python library lets you run thousands of MuJoCo physics simulations in parallel using your computer's standard processor, without needing any expensive graphics hardware. It handles the heavy math on the background so you can focus on your code. The magic is that you treat all those robots like one giant spreadsheet. You write to a single array, and every simulation updates instantly. It is perfect for training controllers or testing designs quickly.

🆔 @hackernewsgithubprojects

📦 ktwu01/benchmark-radar

Benchmark Radar: The AI Test Tracker

Benchmark Radar is the living database that tracks every new AI benchmark as it appears. The creator built this tool because finding relevant tests was becoming a nightmare. It continuously scans thirty-seven sources to collect over eleven thousand records, so you never miss a new evaluation method. The most fascinating part is seeing how model scores change over time. You can watch a popular test become saturated as AI models improve. This visual history shows exactly when a benchmark stops being challenging. It is a free, open source way to understand the state of AI research without digging through thousands of papers yourself.

🆔 @hackernewsgithubprojects

📦 r44vc0rp/opensend

OpenSend: Self-Hosted Email Control

Take back full control of your email by running your own sending layer on top of Amazon Simple Email Service. OpenSend is a self-hosted tool that handles both transactional and marketing emails, giving you a clear dashboard to manage campaigns, track deliveries, and manage your audience without relying on a third-party service. It solves the problem of vendor lock-in and gives you complete visibility into your email infrastructure. You get a single API and dashboard that works with your own AWS account, making it easy to see exactly who opened your messages and where they went.

📰 https://news.ycombinator.com/item?id=49638274

🆔 @hackernewsgithubprojects