📦 indranilbanerjee/digital-marketing-pro

Digital Marketing Pro: Your AI Marketing Team

Run a full marketing department from your terminal with Digital Marketing Pro. This open-source toolkit turns your AI assistant into a squad of twenty-four specialists handling everything from SEO audits to paid media planning. Instead of juggling dozens of expensive software tools, you get one system that actually remembers your brand voice and checks every output for accuracy before you publish. The coolest part is the built-in compliance guardrails that ensure your campaigns stay legal across different countries while automatically signing AI content for proof. It is basically hiring a hundred experts who never sleep and never forget a detail, all running on code you can install right now.

🆔 @hackernewsgithubprojects

📦 psychotoxical/psysonic

Psysonic: Winamp Vibes for Navidrome

Psysonic is a stunning desktop app for Navidrome that brings back the classic Winamp look while running super fast. It solves the problem of outdated music players by combining a modern, beautiful interface with the nostalgic feel we love. Built with new tech, it feels snappy and fresh. The coolest part is the fullscreen player, which turns your music into a visual experience with dynamic art and smooth animations. It makes browsing your library feel effortless and fun. If you want a music client that looks great and runs smoothly without the bloat, this is a brilliant choice.

📰 https://news.ycombinator.com/item?id=49273281

🆔 @hackernewsgithubprojects

📦 gaoshu705/qzonearchive

QzoneArchive

Save your old QQ Zone memories right now by archiving your old posts, photos, and videos directly onto your computer or phone. This app pulls down your past updates, pictures, and comments into a private local database that never touches the internet, so your history stays safe and offline. I love it because it lets you browse a neat timeline of your media and export everything into standalone web pages you can read anywhere, even without a connection. It just works smoothly with pause-and-resume if the network acts up, which is a lifesaver for massive archives.

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📦 microsoft/skill-recorder

Skill Recorder: Turn Screen Clicks into AI Skills

You can record yourself completing a task once and automatically turn it into a reusable digital skill that an AI agent can repeat. This desktop app captures your screen clicks, window switches, and optional voice narration, then uses the Copilot CLI to analyze the session. It translates those raw actions into a clear plan of intent and ordered steps. You can then export this plan as an automated procedure for tools like Copilot Studio. It is a practical way to teach your computer to handle repetitive work by simply showing it how you do it.

🆔 @hackernewsgithubprojects

📦 meta-quest/agentic-tools

agentic-tools

agentic-tools is the developer toolkit that turns your AI coding assistant into a Meta Quest VR expert. Instead of guessing through complex documentation, it provides pre-built skills that guide agents through Unity setup, performance debugging, and store submissions. It works by packaging specific VR knowledge into reusable instructions that plug directly into tools like Claude or Cursor. The most useful part is how it connects your AI to your physical headset via the metavr command line, letting agents install apps and check logs automatically. It basically bridges the gap between writing code and testing it in virtual reality, making Quest development way less frustrating for anyone building immersive experiences.

🆔 @hackernewsgithubprojects

📦 automazeio/ccpm

CCPM - The Project Manager Agent

CCPM is the project management skill that lets multiple AI agents build software in parallel without stepping on each other's toes. It replaces chaotic chat logs with a strict system where ideas become written specs, then break down into GitHub issues that act as the single source of truth. The real magic happens when the tool splits a single feature request into five independent work streams, launching separate agents to code database tables, logic, and tests at the same time. This keeps context clean, prevents conflicting code, and ensures every line of software traces back to a clear plan.

🆔 @hackernewsgithubprojects

📦 anandb71/arbor

Arbor: Stop Breaking Code You Didn't Mean To

Arbor is the code intelligence tool that finally tells you exactly what will break before you make the change. Most AI coding assistants just scan text and guess, often leading to hallucinated answers that mislead developers. Arbor takes a completely different approach by building a semantic dependency graph that treats functions and classes as connected nodes. It uses deterministic logic to map out every single call and import, meaning it knows precisely which files rely on the code you are about to modify. Instead of vague suggestions, it gives you a clear blast radius report showing the real impact of your edits.

🆔 @hackernewsgithubprojects

📦 ray-r-ren/agent-apprenticeship

Agent Apprenticeship: AI That Learns from Its Mistakes

Watch AI agents actually learn from their own real-world mistakes instead of just guessing. Agent Apprenticeship is a tool that lets you run AI agents in iterative loops where they attempt tasks, get evaluated by mentors or humans, and then turn that entire process into reusable lesson data. Instead of starting from scratch every time, these agents install past work experience to improve their future performance. It is basically a way to turn routine AI tasks into a growing library of shared knowledge that makes every agent smarter over time.

🆔 @hackernewsgithubprojects

📦 zyphra/zuna

Zuna: The Brain Wave Model That Fills In Missing Data

Zuna is the open-source EEG model that turns incomplete brain recordings into complete, clean signals using only electrode positions. Zuna learns the physical layout of sensors to reconstruct missing data, denoise messy recordings, and even predict what your brain was doing at spots where no sensor existed. Trained on millions of hours of data, it fits on a single consumer graphics card, making complex neuroscience research possible without expensive lab equipment. It is not a medical device, but a powerful tool for researchers to clean up brain data. The model handles everything from sparse consumer headbands to dense research caps by understanding where each sensor sits on the scalp.

🆔 @hackernewsgithubprojects

📦 wadezhao23/loom-novel

Loom Novel: AI Writing That Learns Your Style

Loom Novel turns your local computer into a personal novel-writing factory that actually learns your unique voice. Instead of generic AI text, this tool uses a team of specialized agents to draft chapters based on your world building and character cards, then watches you edit the output and memorizes exactly how you changed it. You simply paste a few paragraphs of your own writing to set the tone, let the system generate a chapter, tweak it by hand, and hit a learning button. The magic happens next time: the AI writes the following chapter with your specific phrasing and rhythm baked in.

🆔 @hackernewsgithubprojects

📦 microsoft/resource2skill

Resource2Skill: Turn Tutorials into Agent Skills

Microsoft Resource2Skill turns human tutorials into executable skills that AI agents can actually run. Instead of just reading text, the system digests video guides and articles to build reusable instructions for real software tools. An agent can then browse these distilled skills to generate web pages, design PowerPoint decks, create Excel workbooks, model 3D scenes in Blender, or even compose music tracks in audio software. It effectively transforms passive learning resources into active, automated workflows. This approach lets artificial intelligence agents perform complex tasks across diverse domains by combining and executing specific, proven techniques rather than guessing from scratch.

🆔 @hackernewsgithubprojects

📦 ohad6k/emulo

Emulo: Mine Your Coding Logs Into a Personal Agent Profile

Emulo reads your past coding sessions to build a private profile that teaches AI agents exactly how you work. Most agents start every task from zero, forgetting your specific debugging style or design preferences. Emulo fixes this by mining your history from tools like Claude Code and Codex, extracting the unwritten rules you actually follow. It creates a you.md file that loads before work begins, so your agent codes like you rather than a generic template. The process stays local, keeping your raw logs on your machine and only sending redacted text for processing.

🆔 @hackernewsgithubprojects

📦 mitkox/thinking-with-visual-primitives

Thinking with Visual Primitives

DeepSeek’s Thinking with Visual Primitives solves a sneaky problem where AI models get lost in complex images because natural language is too vague. Instead of just seeing clearer, this tool teaches the model to point while it reasons by using points and boxes as actual units of thought. It mimics how humans trace mazes with a finger to anchor abstract concepts to concrete coordinates. This approach drastically cuts down on the massive amount of image data the AI needs to process, letting it solve tricky spatial puzzles with surprising efficiency and accuracy that rivals top-tier commercial models without drowning in token costs.

🆔 @hackernewsgithubprojects

📦 sthamann/nyx-local-ai

Nyx Local AI: Offline Coding Agent

Nyx Local AI runs a full coding agent entirely offline right inside your editor with zero token costs. This extension automatically finds your local Ollama or LM Studio models and lets you chat, write code, and run commands without ever sending data to the cloud. You can even connect to other machines on your network to use their GPUs while keeping everything private. It gives you a Cursor-like experience on your own hardware, handling everything from code edits to file management securely. You get total control over your data and avoid monthly fees while still using powerful local models for real work.

🆔 @hackernewsgithubprojects

📦 kunchenguid/whathappened

whathappened: The X Briefing Agent

whathappened is a specialized tool for Grok Build that turns Twitter chaos into a structured, neutral briefing of what just happened, who is saying what, and where the real debates are happening. Instead of drowning you in screenshots, it actively searches public conversations to map out distinct opinion camps, tracks live arguments with direct post links, and filters out noise using an adaptive time window that adjusts based on how fast a story is moving. It is genuinely useful because it gives you the full picture of public sentiment and factual developments in one clean read, saving you from scrolling through hundreds of conflicting takes.

🆔 @hackernewsgithubprojects

📦 kiwi-init/bonsai

Bonsai AI: Turn Messy Thoughts into Ready-to-Code Prompts

Bonsai turns messy notes into ready-to-code prompts. This native macOS app gives you a single canvas to sketch ideas with shapes, attach local files or web tabs, and let an AI agent reshape the board live. The standout feature is a built-in semantic linter that checks if your prose is clear enough for automation. It quietly flags vague sentences while you type, ensuring you have a solid plan before you ever paste anything into a coding tool. It keeps the path from thought to action short and frictionless.

🆔 @hackernewsgithubprojects

📦 therealyt/git-knife

Git-Knife: Edit Commit Dates Easily

Git-Knife is the desktop tool that finally lets you edit commit dates and author details with a simple table view. Most GUIs lock those timestamps down, but this one opens them all up so you can fix your history without guessing. You get a clean list of commits where you can tweak messages, names, emails, or exact dates in one go. The coolest part is the bulk find and replace feature that scans your entire log for things like old email addresses and swaps them everywhere at once. It previews every change first and saves a backup before it does anything, so you never break anything.

📰 https://news.ycombinator.com/item?id=49259611

🆔 @hackernewsgithubprojects

📦 haiyuwu/visreg

VISReg: Self-Supervised Visual Learning

VISReg is a Python package that teaches AI models to understand images without any manual labels. It uses a technique called Variance-Invariance-Sketching Regularization to stop neural networks from cheating during training. Most self-supervised methods eventually collapse, meaning the model learns to ignore the actual visual details. VISReg adds a mathematical check that forces the network to pay attention to differences in the data. This makes the model much more robust, especially when dealing with messy or rare images. The project includes pre-trained weights and evaluation scripts for tasks like classification and segmentation. It is a practical tool for researchers who want better visual representations without the hassle of heuristic tuning.

🆔 @hackernewsgithubprojects

📦 william-lu-stack/flawless

Flawless: AI SRE for Kubernetes

Flawless is the AI infrastructure platform that actually proves its own fixes worked. Instead of just offering vague advice, it acts as an autonomous SRE that gathers real-time evidence from your logs and metrics to diagnose failures. It then drafts a safe recovery plan, waits for your explicit human approval, and executes the fix in a controlled environment. The truly surprising part is that it does not stop at running the command; it actively verifies that the service is truly healthy before closing the ticket. This means every action is auditable, every fix is verified, and you get a complete record of exactly how the system healed itself.

🆔 @hackernewsgithubprojects

📦 codejunkie99/agentic-stack

One Brain for Every Coding Agent

Most coding tools treat your AI assistant like a goldfish with a five-second memory, wiping the slate clean every time you restart. The Agentic Stack solves this by giving you a portable brain that lives in a simple agent folder and travels with your project. You can use it with Claude, Cursor, or Windsurf, and your AI keeps its memories, skills, and preferences intact no matter which tool you switch to. It also includes a local dashboard to track costs and activity, plus a clever flywheel that turns your approved work into reusable learning material without training a new model.

🆔 @hackernewsgithubprojects

📦 haydenbleasel/blume

Blume: Zero-config docs that just work

Blume is the documentation generator that turns a folder of Markdown files into a production-ready website without touching a config file. You simply drop your notes into a directory, run one command, and it silently spins up a hidden Astro project to handle navigation, search, and mobile design for you. The real magic is how AI-friendly it is: it automatically generates special text files and a server endpoint that let coding agents search, read, and even update your documentation directly. It even includes skills to teach AI tools how to maintain the site for you.

🆔 @hackernewsgithubprojects