📦 macrodata-labs/refiner

Scale Your Machine Learning Data with Refiner

Struggling to prepare massive datasets for your machine learning models? Meet Refiner, an open-source framework specifically designed to streamline the processing of complex robotics and multimodal data. Instead of relying on generic tools, Refiner provides specialized pipeline primitives that allow you to efficiently clean, annotate, and transform large-scale data with ease. You can develop your processing logic locally and then scale it seamlessly across your infrastructure. Whether you are trimming motion data or running model-based inference, this framework simplifies your workflow by handling the heavy lifting of sharding and distributed execution so you can focus on building better models.

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📦 microsoft/fara

Microsoft Fara-7B: The Small AI Agent That Controls Your PC

Have you ever wanted an AI that can actually use your computer like a human? Meet Fara-7B, an ultra-compact, seven-billion-parameter agent designed by Microsoft specifically for computer use. Unlike standard chatbots, Fara-7B perceives your screen through direct screenshots and uses your mouse and keyboard to handle complex, multi-step web tasks. By running locally on your device, it ensures your data stays private while delivering fast, state-of-the-art performance on benchmarks like WebVoyager. Whether it is shopping, booking travel, or filling out forms, Fara-7B transforms your PC into a truly automated workspace. Experience the future of local, efficient, and private AI automation.

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📦 gary23w/neuron-db

Stop Overloading Your AI: Use This Brain-Like Memory

Ever feel like your AI forgets everything or runs out of space? Meet a clever way to give your LLM a massive, brain-like memory that lives outside its limited context window. This project provides an associative memory system that lets you save facts in plain language and recall them by meaning without needing complex databases, embeddings, or expensive model training. It runs entirely on your machine, using a fast Rust core that handles millions of facts with microsecond latency. It is basically a searchable, long-term storage layer that keeps your AI smart, efficient, and perfectly accurate at any scale.

📰 https://news.ycombinator.com/item?id=48527346

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📦 thu-team-eureka/eurekagent

Automate Scientific Research with EurekAgent

Ever wonder how to automate complex scientific discovery? Meet EurekAgent, an autonomous research system designed to tackle metric-driven tasks through a continuous experimentation loop. By defining your problem and evaluation criteria, the system coordinates specialized agents to propose diverse approaches, implement code, and run experiments in isolated Docker containers. It handles the entire research cycle—iterating toward breakthroughs while tracking your progress and costs in real time. Whether you are working in mathematics or machine learning, this tool simplifies discovery by managing the heavy lifting for you. Give your research a massive boost and start automating your experiments today.

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📦 witcherofresearch/qwen-image-style-transfer

Master Content-Preserving Style Transfer with QwenStyle

Ever wondered how to perfectly apply an artistic style to your photos while keeping the subject exactly as it is? Meet QwenStyle, the first model that brings high-efficiency content-preserving style transfer to the Qwen-Image-Edit framework. By leveraging specific style and lightning lora models, this project allows you to transform images in just four sampling steps without losing key visual details. Whether you are aiming for rapid stylized edits or experimenting with custom content, this repository provides the raw code and diffusion-based models you need to get started. Dive into this efficient, creative tool to transform your digital imagery today.

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📦 ai-hypercomputer/accelerator-agents

Supercharge Your TPU Development with Accelerator Agents

Optimizing machine learning models for high-performance hardware is a massive challenge, but Accelerator Agents makes it easier by providing specialized AI tools designed for Google Cloud TPUs. This project uses Gemini-powered agents to automate complex tasks like migrating PyTorch code to JAX and optimizing custom Pallas kernels for maximum performance. With built-in tools like MaxCode for code migration and JAXBench for performance evaluation, developers can streamline their workflow and unlock better hardware utilization. Whether you are debugging kernels or porting models, these agents provide the intelligent assistance you need to build faster today.

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📦 eit-nlp/awesome-streaming-llms

Understanding Streaming Large Language Models

Ever wondered how AI models handle live, incoming information? This repository is a goldmine for anyone tracking the evolution of streaming large language models and multimodal systems. It provides a comprehensive survey that helps clear up confusion by categorizing these models into three progressive paradigms: output streaming, sequential streaming, and concurrent streaming. Whether it is managing long-term memory or deciding exactly when to read and respond, this collection covers the essential research shaping real-time AI interaction. Dive into this structured resource to explore the cutting edge of how machines bridge the gap from static inference to full-duplex dynamic interaction.

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📦 ndvbd/gefen

Train Larger AI Models with Gefen

Struggling with GPU memory limits while training massive AI models? Meet Gefen, a clever drop-in replacement for the standard AdamW optimizer designed for high efficiency. By utilizing specialized fused CUDA kernels, Gefen slashes your optimizer state memory footprint by up to eight times without sacrificing performance. This gives you the freedom to train significantly larger models or utilize much bigger batch sizes than before. It is incredibly easy to implement, requiring you to change just two lines of code in your existing workflow. Optimize your training pipeline today and start pushing your hardware to its full potential.

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📦 supermemoryai/claude-supermemory

Give Your Claude Code Persistent Memory

Ever wish your AI coding assistant remembered your previous sessions or project decisions? The Claude Supermemory plugin changes that by giving Claude persistent, long-term memory. It automatically captures important conversations and allows you to manually save key architectural decisions or bug fixes for the whole team to reference later. With smart, reasoned recall, Claude only searches your past memories when it actually helps your current task. Whether you are tracking coding styles or complex project patterns, this tool helps your AI grow alongside you. Install the plugin today to stop repeating yourself and start building smarter.

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📦 anyesh/wardrowbe

Take Control of Your Closet With This AI-Powered App

Ever feel like you have nothing to wear even when your closet is full? Meet a smart self-hosted solution that turns your wardrobe into an organized digital system. By taking photos of your clothes, this AI-powered tool automatically extracts details, learns your style, and suggests outfits based on the weather and the occasion. You can track what you wear, manage family wardrobes, and even analyze your own fashion habits all while keeping your data private on your own hardware. It is a fantastic way to simplify your mornings and make the most of what you already own.

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📦 besty0728/unity-skills

Automate Unity With AI: Unleash 750+ Skills

Imagine giving your AI the power to control your Unity scenes directly. This repository provides a comprehensive engine for AI-driven Unity Editor automation, connecting your project to advanced tools like Claude Code and Cursor. It features over 750 REST-based skills covering everything from ProBuilder modeling and Shader Graph editing to complex Netcode workflows. By using batch operations and intelligent caching, this system slashes token consumption and streamlines repetitive tasks into single, efficient commands. Whether you are managing complex assets or optimizing performance, this toolkit brings professional automation to your workflow, ensuring your development stays fast, clean, and incredibly productive.

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📦 narratorai-studio/narrator-ai-cli-skill

Automate Movie Narration with AI Agents

Want to turn movies into narration videos automatically? This repository provides a powerful skill file that teaches AI agents how to use the dedicated command line tool to handle the entire production pipeline. By installing this skill, your AI agent gains the ability to search for movies, select background music, pick voices, and generate scripts, ultimately composing finished videos through natural conversation. It supports various workflows, including fast and standard paths for different content styles. Whether you are a creator or a developer, this tool simplifies complex video production tasks into a seamless and efficient automated workflow.

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📦 sawyerhood/dev-browser

Automate Browsers with AI Using Dev Browser

Want to give your AI agent the power to control a web browser? Meet the tool that makes it possible. This project provides a robust browser automation CLI that allows your agents to navigate, click, and interact with the web using sandboxed JavaScript. It runs your scripts in a secure environment and supports the full Playwright API, meaning you can handle complex tasks like filling forms, taking screenshots, or extracting data. It is the perfect bridge for connecting AI agents to live websites for real-world tasks. Supercharge your agent’s capabilities and start building more autonomous browser workflows today.

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📦 shaom/infocard-skills

Turn Your Notes Into Professional Magazine-Style Cards

Want to turn simple text notes into sleek, professional editorial cards? This repository offers specialized agent skills that do exactly that. Instead of basic formatting, it provides structured HTML templates and responsive layouts that look like modern magazine designs. Whether you need a dense infographic for a report or a clean visual summary, this tool handles the hierarchy, typography, and spacing for you. It even includes a screenshot helper to generate PNGs in multiple aspect ratios. It is a fantastic way to automate your content design and give your information a truly polished, intentional, and high-end visual edge.

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📦 rshankras/claude-code-apple-skills

Supercharge Your Apple Development with Claude Code Skills

Want to take your Apple app development to the next level? This repository offers a massive collection of specialized skills designed to help you plan, build, and ship apps for iOS, macOS, watchOS, and beyond. By integrating these expert-curated modules directly into your workspace, you can automate everything from generating production-ready networking layers and auth flows to crafting the perfect App Store strategy. Whether you are setting up complex SwiftData architecture or optimizing your UI for accessibility, these professional templates act as a force multiplier for your projects. Grab these tools today and start building faster than ever before.

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📦 zhixiangluo/10xproductivity

Build Your Own Local AI Work Assistant

Tired of waiting for IT approval to use AI tools at work? You can turn your existing coding agent into a personal assistant that works entirely within your current corporate constraints. Instead of needing new platforms or webhooks, this project lets you leverage your own authenticated sessions and tools like Slack, Jira, and GitHub. You simply coach the agent through real tasks on your local machine, and it learns to handle everything from sprint triage to meeting prep. It is a local-first way to automate your daily workflow while keeping your sensitive data private and your productivity soaring.

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📦 vast-ai-research/triposplat

Turn Any Image into 3D with TripoSplat

Ever wanted to turn a single 2D image into a high-quality 3D object in seconds? Meet TripoSplat, a powerful tool that transforms images into variable numbers of 3D Gaussians with ease. This technology simplifies asset creation for everything from game development to AR and VR projects. What makes it truly special is its minimal codebase and lack of complex dependencies, making it remarkably easy to integrate into your own workflows. Whether you need to balance visual detail with performance or just explore new creative possibilities, TripoSplat gives you the control you need. Dive in and start building your 3D worlds today.

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📦 networkmanager-rs/nmrs

Control NetworkManager with Rust!

Tired of complicated network management on Linux? Meet a powerful Rust library designed to give you seamless, async-first control over NetworkManager. By utilizing D-Bus, this project provides a safe and high-level API, making it incredibly simple to scan for Wi-Fi networks, manage Ethernet connections, or even handle complex VPN configurations directly from your Rust code. Whether you need to monitor connectivity in real-time or automate your network setup, this library simplifies the process with clean, idiomatic code. Dive into this project to streamline your Linux networking tasks and take full command of your system's connections today!

📰 https://news.ycombinator.com/item?id=48556489

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📦 evanthomasluke/awesome-ai-hacking-agents

Mastering AI Hacking Agents: The Ultimate Curated Resource

Are you ready to explore the cutting edge of automated security testing? This repository is a comprehensive, community-driven collection of over sixty open-source AI hacking agents designed for educational and authorized security research. It solves the problem of finding and comparing these specialized tools by organizing them in one accessible location. You will find everything from automated penetration testing frameworks to AI-powered code auditing agents. Each entry includes documentation links to deepen your understanding of these evolving technologies. Dive into this project to discover how intelligent agents are transforming modern cybersecurity workflows and stay ahead of the curve.

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📦 traceopt-ai/traceml

Stop Guessing: Debug PyTorch Training Performance with TraceML

Is your PyTorch training running slower than expected? Meet TraceML, a lightweight diagnostic tool designed to help you pinpoint performance bottlenecks without the overhead of heavy profilers. By wrapping your training step, TraceML monitors critical metrics like input latency, memory creep, and distributed rank imbalances. It provides a clear, actionable summary at the end of every run, identifying whether your issues stem from a slow dataloader, GPU wait times, or infrastructure changes. With under two percent performance overhead, it is the perfect first step to diagnose training issues and optimize your deep learning workflows for maximum efficiency.

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