📦 fluid-cad/fluidcad

FluidCAD

Design precise, professional 3D models using standard JavaScript instead of heavy graphical software. This clever tool lets you write code to sketch circles, extrude shapes, and apply fillets, instantly updating a live 3D viewport right next to your code editor. It is built on a real engineering kernel rather than mesh approximations, meaning you get exact math-based geometry for things like STEP files. The best part is the smart defaults that automatically guess which sketch you want to extrude or which shape to fuse. It is a brilliant, lightweight way to code your physical designs over coffee.

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📦 zhangyu-zjut/awesome-antigravity

Awesome Antigravity

Build whole features and fix legacy code by orchestrating AI agents instead of writing syntax line-by-line. The awesome-antigravity repository is a community-curated collection of templates, personas, and troubleshooting guides specifically for Google's agent-first development environment. It solves the headache of AI agents getting stuck or burning through your rate limits by providing optimized prompts, like a ruthless code reviewer or a unit test generator. Instead of struggling with complex multi-step tasks, you get proven blueprints to keep your digital assistants on track. It is the ultimate shortcut to mastering agent-based coding without wasting your credits.

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📦 forloopcodes/contextplus

ContextPlus

Contextplus is the developer tool that turns any massive, overwhelming codebase into an organized, searchable map of features. Instead of wasting time digging through folder trees or blindly searching text, this tool links up with coding agents to let you explore code by its actual meaning and conceptual relationships. It maps out how different parts of your software depend on one another, lets you safely trace the blast radius of any code change before you make it, and even auto-saves restore points so you can easily undo mistakes. It is like having a super-powered mental model of your entire project that guides you exactly where you need to go.

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📦 0x2alab/kivo

Kivo API Client

Your local API testing is about to get incredibly fast because Kivo brings a high-performance JSON query engine directly into a beautiful, lightweight desktop app. Built with Rust and Tauri, this client lets you search and filter massive JSON responses in real time using intuitive conditional expressions. Beyond speed, it gives you full control of your local data with encrypted variables, built-in load testing, and wide protocol support from standard HTTP to GraphQL and gRPC. It offers a clean, keyboard-friendly workspace that runs entirely on your own machine. Download Kivo to experience a lightning-fast, secure playground for your daily API testing.

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📦 tencent-hunyuan/gear

GEAR

Generating high-quality images with autoregressive models just got ten times faster. Normally, training these generators end-to-end with image-to-token translators fails because selecting discrete tokens is a non-differentiable process that causes the training to collapse. This repository introduces a clever workaround using a dual-branch system. By splitting the workflow into a hard branch to train the image generator and a soft, differentiable branch to guide the tokenizer, the system allows the generator's feedback to refine the token selections. The result is a highly compatible, drop-in training boost that speeds up convergence on massive datasets like ImageNet while preserving beautiful reconstruction quality.

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📦 filliptm/comfyui_fl-mcp

comfyui_fl-mcp

Your favorite AI assistant can now jump directly onto your local ComfyUI canvas and build image generation workflows for you. The comfyui_fl-mcp project acts as a bridge that exposes over one hundred tools directly to model-driven editors and desktop assistants. This means an assistant can read your open node graph, add or connect nodes, clean up messy layouts, and even run generations on your machine. It completely eliminates the need to manually build complex node webs by hand. Just tell your assistant what pipeline you want, and watch it wire up the canvas in real time.

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📦 aklofas/kicad-happy

KiCad Happy

kicad-happy is the AI-powered design review assistant that catches critical hardware bugs before you spend money on physical boards. Written in pure Python, it plugs into popular coding agents to analyze your schematics, PCB layouts, and Gerber files. Instead of just guessing, it maps your power tree, audits connectors for ESD protection, and computes actual analog circuit behavior. It even generates SPICE simulations to test your filters and runs geometric checks to predict common EMC test failures. It is like having a veteran electronics engineer instantly review your design, point out exposed signals, and verify component tolerances.

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📦 2gt-media-group-llc/mikrotik-manager

MikroTik Manager

mikrotik-manager is the self-hosted network dashboard that finally makes managing your entire fleet of routers, switches, and access points incredibly simple. Instead of bouncing between clunky terminal windows or separate config utilities, this platform brings everything into one clean web interface. The coolest part is the built-in traffic analyzer, which automatically collects and decodes flow data directly from your routers without needing any external tools. It even matches data use to specific devices on your network and groups traffic by application, giving you instant insight into who is using all your bandwidth. It is the perfect home server addition for any curious self-hoster.

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📦 chaohong-ai/ai-auto-work

ai-auto-work

An open-source system can now autonomously take a software project from raw requirements all the way to finished, production-ready code. The ai-auto-work repository coordinates different artificial intelligence models to work as a complete engineering department. One AI acts as the developer to research, plan, and write the code, while a completely different model acts as an adversarial reviewer to test and audit every step. This cross-model review loop catches blind spots and prevents bugs before they are committed. It allows developers to delegate complex, multi-step engineering tasks to a self-correcting team of digital agents.

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📦 tsouth89/conduit

Conduit

Connecting multiple AI servers to your favorite assistants usually floods their memory with hundreds of tool definitions, spiking your token bill before you even type a single question. Conduit resolves this by acting as a single local gateway that shares your servers across every AI client while instantly shrinking tool definition overhead. Instead of dumping every tool into the prompt, it presents just three meta-tools that your AI searches on demand, cutting total tokens by up to ninety-one percent. All your keys stay safe in your local operating system keychain, and you only have to configure your servers once.

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📦 pauljoda/prismedia

Prismedia

Prismedia is the self-hosted media server that finally puts your entire digital library under one roof. While most tools only care about video, this clever system treats everything as a first-class citizen, from movies and music to eBooks, comics, and photo galleries. It packs a full-featured file manager, smart metadata scraping, and even native book readers directly into a single Docker image. You can even connect your favorite downloaders and request new media without leaving the app. It is the ultimate private home server for anyone who wants a gorgeous, unified space to stream, read, and manage all of their files from any screen.

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📦 jasonkneen/kiro

Kiro

Kiro is the spec-driven development guide that helps your team build software systematically using a structured three-phase process. Instead of jumping straight into coding and getting lost in details, this framework guides you smoothly through requirements engineering, technical design, and task breakdown. It introduces a highly organized methodology that is so effective it has been featured in internal presentations at Amazon. Kiro even integrates directly with your development tools as a Model Context Protocol server and a Claude Code plugin, giving your AI assistants instant access to precise project guidelines, steering documents, and standard templates. It is the perfect framework for taking the chaos out of software planning and ensuring...

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📦 darkoperator/mimikatz-missing-manual

mimikatz-missing-manual

mimikatz-missing-manual is the master curriculum that finally turns the mysterious inner workings of Windows security and identity theft into an accessible, open-source guide. Originally built as high-end training for security conferences, it translates complex concepts like Kerberos tickets, smart cards, and deep memory systems into plain English. It guides you step-by-step through how Windows stores credentials, explaining the actual science behind how secure authentication works and how it can be bypassed. It is the ultimate resource for understanding how Windows really protects your secrets. Check out the manual online and start mastering system internals today.

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📦 halfrgrd/flyline

Flyline

Your terminal is about to get a serious upgrade. Meet flyline, a clever plugin written in Rust that completely replaces Bash's aging line editor to give you a modern, IDE-like experience right in your shell. The coolest part is how it handles the cursor; instead of abruptly jumping around, the cursor dynamically slides, glides, and animates into position using smooth easing effects when you type or move. It also adds smart mouse control, fuzzy history search, auto-closing brackets, and an AI agent mode to translate plain English into terminal commands. It makes your old command line feel incredibly alive.

📰 https://news.ycombinator.com/item?id=48199808

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📦 xenitv1/claude-code-maestro

Claude Code Maestro

Supercharge your local AI coding sessions by adding a persistent memory and a built-in automated QA testing loops directly into your workflow. Claude Code Maestro functions as a smart plugin for the Claude command line interface, coordinating your programming tasks through a central grandmaster agent. Instead of losing context between terminal runs, this tool records your tech stack, architectural choices, and recurring errors in a local brain file. Its standout feature is an autonomous testing assistant that enforces clean code protocols and runs iterative test loops until your code actually works perfectly. It makes local AI coding much more reliable.

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📦 limitlesslab/ai-upscaling-models

AI Upscaling Models

Restore the lost details in heavily compressed photos and videos using custom-trained neural networks designed for extreme realism. The ai-upscaling-models repository provides a suite of specialized PyTorch models that recreate authentic textures like skin pores, fabric, and grit instead of just smearing pixels. The creator spent months hand-selecting over eleven thousand high-definition reference images to train these models on real-world details. By modifying existing open-source architectures to fix common visual glitches, this project delivers incredibly clean upscaling and noise removal. It is an incredibly practical, high-fidelity tool for anyone wanting to breathe new life into low-resolution media.

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📦 nvidia-tao/tao-skill-bank

NVIDIA TAO Skill Bank

AI coding assistants can now train and deploy advanced computer vision models without writing a single line of Python code. This is made possible by the tao-skill-bank, a library of portable agent skills designed for tools like Claude Code and Codex. Instead of manually writing complex training scripts, you simply load this plugin, and your AI assistant can directly build and run containerized tasks for everything from object detection to depth estimation. It provides a bridge between natural language instructions and real-world machine learning pipelines, letting developers orchestrate entire model-training workflows through simple conversation.

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📦 gitlawb/zero

Zero Terminal AI Agent

You can now run a fully sandboxed AI coding agent right inside your local terminal without giving up control of your filesystem. A clever new tool called zero lets you bring over twenty-five different AI models, from Claude and GPT to offline local models like Ollama, to edit your code and run terminal commands under strict permission rules. Instead of letting an agent run wild, zero limits file writes to your workspace, gates network access, and redacts secrets automatically. It features a gorgeous, highly accessible terminal interface with live plans and visual diffs, but it can also run headlessly inside automated scripts. It is the perfect way to get autonomous...

📰 https://news.ycombinator.com/item?id=48758222

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📦 rayl15/openvision

openvision

Connect your Meta Ray-Ban smart glasses directly to powerful artificial intelligence running right on your iPhone. This neat app lets you swap between different brains for your glasses, including private models that run entirely offline on your device with absolutely zero API costs. The coolest part is the built-in face recognition, which lets you teach your glasses to recognize friends on the spot without ever sending a single photo or query to the cloud. It is like giving your wearable tech a completely local, private superpower. Grab your glasses and check out this open-source project to make them truly yours.

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📦 scstelz/security-investigator

Security Investigator

Run complete, multi-domain security investigations using simple conversational questions with security-investigator. This clever repository links GitHub Copilot, Model Context Protocol servers, and Microsoft Sentinel to automatically hunt for threats across your entire network. Instead of manually writing complex queries, you can just ask the assistant to investigate a suspicious user or check if an IP address is malicious. It automatically triggers specialized workflows, gathers data, runs verified search queries, and builds beautifully detailed reports complete with geolocation maps. It is like having a seasoned security analyst on standby, ready to audit everything from compromised credentials to misconfigured systems in seconds.

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📦 looptroop-ai/looptroop

LoopTroop AI

LoopTroop is the local orchestrator that finally stops AI coding agents from getting confused on complex tasks. Instead of relying on a single, messy chat session that gets bloated and drops in quality, this tool breaks big coding tickets down into bite-sized milestones called beads. It runs an LLM council where different models draft, vote on, and perfect a plan before writing any code. Then, an agent executes each milestone inside an isolated workspace, running automated testing loops that wipe the chat history and retry fresh if they fail. It is slow, precise, and perfect for leaving complex coding tasks to run safely overnight.

📰 https://news.ycombinator.com/item?id=48643477

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