📦 goncafer47/stablecoin-payment-gateway

Stablecoin Payment Gateway: Take Zero Fees

You can now charge for your API calls using the old HTTP four hundred and two status code, effectively turning any web endpoint into a paid service with stablecoins. This self-hosted gateway lets you accept dollars in digital form across eight different networks while keeping your private keys entirely safe. It watches the blockchain to confirm payments and sends secure alerts to your server, all without a single cent in platform fees or identity checks. If you want to accept crypto payments without handing your money to a third party, this Python tool is the way to do it.

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📦 trustfuture/simon-skills

Simon Skills: Make Videos Without Showing Your Face

Turn one topic into a finished video. Simon Skills gives an AI agent the tools to research facts, write scripts, add voiceover, and design thumbnails. It creates long investigation pieces or short whiteboard explainers. The AI handles the heavy lifting so you get a ready-to-post file. This is perfect for creators who want results without filming themselves. The repo uses real workflows to avoid common mistakes. You get a clear, professional result fast. Try it and see how easy content creation becomes.

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📦 amitshekhariitbhu/ai-system-design

AI System Design

There is one place that actually explains how to build large language model systems without the headache. This guide, called AI System Design, walks you through the messy reality of serving models, managing memory, and wiring up agents. It cuts through the noise by breaking down complex hardware and data retrieval into plain, digestible steps. You will learn exactly how to handle latency, cache smartly, and scale your infrastructure. It is the missing manual for anyone building real AI products. No more guessing why your server slows down. Just clear, practical answers. Bookmark this repo now. It is the only refresher you will ever need to master the stack.

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📦 luketheneuromancer/system-design-notes-zh

Mastering System Design Interviews in Chinese

Prepare for system design interviews with a comprehensive Chinese translation of the System Design Notes repository. This resource translates the popular system-design-notes book by liquidslr into Chinese, helping developers prepare for interviews at top tech companies. The repository covers essential topics like scaling, load balancing, database sharding, caching, and designing complex systems like YouTube, Google Drive, and payment systems. It includes diagrams, explanations, and real-world examples to make learning accessible. Perfect for engineers who prefer studying in Chinese or want a clear, structured guide to high-level system architecture. Start building scalable systems with this detailed and practical study guide.

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📦 win4r/museai-skills

Inside the Muse AI Brain

Peek inside the actual brain of a personal AI agent. This repository preserves the exact instructions that teach the system how to think. You get to see the specific rules for handling email, booking flights, or even forgetting things on purpose. It is not just code; it is a map of logic. It shows you exactly when to ask for permission and how to verify that a job is truly done. This is a rare look at the hidden machinery behind the chat. It turns a black box into a clear blueprint. If you build agents, this is your cheat sheet. It reveals the secret architecture of trust.

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📦 apify/mcpc

mcpc: The Universal MCP CLI

Turn any Model Context Protocol server into a simple command line tool with mcpc. It handles the messy parts like login, connection management, and output formatting so you just get the data you need. Think of it as a universal translator that lets your terminal talk directly to AI servers, whether they run locally or over the web. This is especially cool because it makes complex AI capabilities accessible without writing custom glue code for every single app. It just works, keeping your sessions alive and your data clean. If you build with AI tools, this saves you a ton of headache.

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📦 ghaida/intent

Design with Intent: Your New AI Design Team

Design with Intent is the AI agent collection that finally makes sure your products have a reason for existing. Instead of just asking a chatbot to draw a button, this tool hands you six distinct AI personas, like Ember for research and Wren for design, who actually think through the why behind every decision. It comes with a massive list of sneaky tricks that apps use to trick you, so these agents actively protect you from building bad, manipulative software. You just paste their instructions into your favorite AI tool, and they handle everything from the initial strategy to the final handoff to your developers.

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📦 kaolti/phantomat

phantomat

Break away from rigid virtual workspaces by turning your desktop into a massive, zoomable infinite canvas. This clever system places all of your running applications on a single endless plane that you can pan, zoom, and organize freely. Multiple monitors function as a unified physical desk, allowing you to drag windows seamlessly across the seams of your screens in one continuous movement. Best of all, hitting a quick shortcut pulls the camera back through a beautiful curved lens, letting you type a few letters to instantly search, filter, and glide straight to the exact window you need on your map.

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📦 supermemoryai/company-brain

The Slack Bot That Remembers Everything

Company Brain is the Slack teammate that actually remembers everything your team says and then goes to do the work. It solves the problem of scattered knowledge by listening to your channels and building a private, permission-aware memory of every decision and discussion. The most surprising part is that it does not just chat; it takes action by opening issues, checking pull requests, and even running code to fix problems while you sleep. Since it was recently open-sourced, you can deploy this powerful, self-hosted agent in minutes using Cloudflare.

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📦 qybaihe/mu

mu: The Coding Agent That Thinks Before It Acts

mu is the coding agent that finally stops wasting your attention on routine choices. Instead of letting a massive model burn energy deciding if every single command is safe or if old data still matters, mu uses a tiny, lightning-fast judge to handle those thirty-five small calls automatically. This keeps your big model focused entirely on writing the actual code, making the whole process faster and cheaper. It is a fresh way to build AI helpers that actually respect your time and money. If you want an assistant that thinks carefully before it acts without the usual slowdown, mu is the tool to watch.

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📦 ollaya-dev/ollaya

Run decision models locally with Ollaya

Ollaya runs open decision models right on your computer, exactly the way Ollama handles large language models. Instead of generating text, these models read a message or ticket and instantly return calibrated probabilities for specific questions, like urgency or churn risk. You get millisecond results without sending data to the cloud. The coolest part is that it speaks the same API as TypeSafe, so your existing clients work by just changing one environment variable. It pulls small graphs from authors and runs them locally on your CPU or GPU. It is fast, private, and built in Rust.

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📦 ysh1112/codex-model-watch

Codex Model Watch: Catch Silent Model Swaps

Stop guessing if your premium AI model is actually working. Codex Model Watch is a local tool that proves exactly what model served your request, catching silent downgrades where you ask for the big brain and get the cheap one instead. It reads your local logs to track quota and errors, but its killer feature is an active probe that pings the server to verify if you are really getting the model you paid for. This solves the mystery of why your output quality suddenly drops, giving you hard data on whether you were swapped to a smaller model. It runs entirely on your computer with zero cloud dependencies.

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📦 kytyps5/kytyps5

Play PS5 Games on Your PC With KytyPS5

Run PlayStation 5 games directly on your computer with KytyPS5, an open-source emulator that lets you boot and play titles like Astro Bot and Demon's Souls without owning the hardware. Written in C++, this project translates the console's graphics and system instructions so your PC or laptop can handle the processing, currently supporting Windows and Linux while experimenting with macOS support. The most surprising part is that it already boots a variety of major 3D titles, including games built with Unreal and Unity, proving that running next-gen console software on standard desktop hardware is closer to reality than ever before.

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📦 wdobry/laya-playground

Laya Plays Games With Real Math

Laya is the open-source decision model that actually plays video games on your laptop. It skips the usual language generation entirely, swapping in a tiny, fast brain that reads a simple sentence describing the game state and instantly returns a probability score. Watch it fly through Flappy Bird or stack blocks in Tetris at thirty decisions per second, all running offline without a single cloud API call. This repository gives you the code, a benchmark, and a guide to use this local, private math engine for your own real-time apps, proving that speed and accuracy don't always require a massive, expensive chatbot.

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📦 lightorigins/light-o1

Light O1

An artificial intelligence model can now translate a simple written prompt into realistic, whole-body human motion. The light-o1 repository is an inference runtime that takes natural language instructions and produces a unified human action representation at twenty frames per second. Before generating any physical movement, the system outputs its reasoning in plain text, letting you see exactly how it plans to coordinate the body. This representation can render a digital character directly or drive physical robots in simulation. It provides a simple way to convert thoughts into physical actions, giving developers a direct path to experiment with humanoid motion.

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📦 benjiyaya/comfyui-qwen-image-2.1-prompt-enhancer

Qwen Image 2.1 Prompt Enhancer for ComfyUI

Turns "a corgi in the rain" into a studio-ready art brief. This ComfyUI plugin uses a large AI model to expand your short ideas into detailed, precise descriptions right inside your image generation workflow. It works for both creating new images from scratch and editing existing ones, ensuring your final art matches your vision exactly without the guesswork of manual prompting. If you want your AI art to look intentional instead of random, this tool writes the detailed recipe for you.

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📦 neuralnomadsai/codenomad

CodeNomad: The AI Coding Cockpit

CodeNomad is the AI coding cockpit that keeps your entire development context in one place. Instead of juggling separate terminals, web browsers, and configuration files, it gives you a unified workspace where your agent, code, and project history live together. The standout feature is its ability to manage Git worktrees directly from the interface, allowing you to switch between different versions of your codebase without ever leaving your chat window. This means your AI assistant always has the exact context it needs, even as you move between features or branches. It turns a complex, fragmented coding setup into a single, coherent command center.

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📦 chubbyguan/chubbyskills

Turn Saved Content Into Searchable Knowledge with Chubby Skills

Turn scattered videos and articles into a searchable library. Chubby Skills lets you capture content from Douyin, Bilibili, YouTube, and WeChat, then converts it into clean text you can actually search. The standout feature is the evidence brief, which pulls exact quotes with line numbers and source links, so your AI agent writes from real data, not guesses. It handles subtitles first to save compute, keeping your knowledge base local and private. This solves the problem of forgotten context by giving you a verifiable source library. Your notes become a reliable foundation for research and writing. Keep your sources organized and ready.

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📦 docsagent/docsagent

DocsAgent: Your AI's Private Library

Search your entire research library in milliseconds without sending a single file to the cloud. DocsAgent plugs directly into your local Zotero collection, giving AI assistants instant, private access to your papers and notes. It runs a high-speed search engine right on your computer, so your documents stay exactly where you put them. This tool bridges the gap between your personal knowledge and your coding assistant, letting it read your notes and find relevant passages in a blink. It is the perfect way to make your AI feel like it has read every book you own, keeping your data private while making your research workflow dramatically faster.

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📦 hasinhayder/tyro-dashboard

Tyro Dashboard

This lightweight package lets you snapshot your entire database and restore it instantly with a single click. Built specifically for Laravel, tyro-dashboard is a management interface that handles everything from user authentication and roles to media management and dynamic databases. Beyond standard user controls, it includes built-in audit logs for tracking system changes, SMTP mail configurations, and direct performance health logs. Because everything is driven by simple artisan console commands, you can generate new admin pages, customize navigation access, and roll back database checkpoints without writing complex boilerplate code. It is the perfect administrative command center for keeping your Laravel projects organized.

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