📦 bergside/design-md-figma

Turn Figma Designs into AI-Ready Blueprints

Tired of design inconsistencies when coding? This Figma plugin automatically extracts your local styles and variables to create a structured design and skill markdown file. By generating these blueprints, you provide AI coding assistants with clear, actionable context on your colors, typography, and component rules. It eliminates guesswork for your agents, ensuring they follow your design system perfectly every time. Whether you are building complex interfaces or simple sites, this tool bridges the gap between your design files and AI development workflows. Try it out to finally sync your design and code effortlessly starting today.

📰 https://news.ycombinator.com/item?id=47924396

🆔 @hackernewsgithubprojects

📦 hanxiao/dataroom

Automate Your Research with Dataroom

Stop wasting expensive frontier model tokens on repetitive research tasks. Dataroom is a powerful local research harness that uses a self-hosted Qwen model to autonomously search, read, and write comprehensive data. It executes a disciplined loop of gathering and organizing information until it produces a structured zip file containing fully-cited summaries and raw data. This output is perfectly designed as context for a second, more advanced AI agent to tackle complex projects. By handling the heavy lifting locally on your own GPU, Dataroom ensures your research is thorough and cost-effective. Streamline your AI pipeline and start researching smarter today.

📰 https://news.ycombinator.com/item?id=48362986

🆔 @hackernewsgithubprojects

📦 bernardohcrocha/persistia-for-claude-code

Give Claude Code a Brain with Persistia

Are you tired of constantly re-explaining your project to Claude Code every single time you start a new session? Meet Persistia, the tool that gives your coding agent a persistent, self-updating memory. By scanning your files and tracking changes through git, it builds a private knowledge base that stays perfectly in sync with your work. From storing your permanent skills to scheduling automated tasks, it transforms your agent into a true operational co-pilot that remembers everything. Stop wasting time on context setup and start getting more done with an assistant that finally knows your project as well as you do.

📰 https://news.ycombinator.com/item?id=48358513

🆔 @hackernewsgithubprojects

📦 autolabhq/autolab

Is Your AI Agent Actually Smart? Meet AutoLab

Are your AI agents truly capable of solving complex research problems or just guessing? AutoLab changes the game by providing a rigorous benchmark for evaluating agents on twenty-three open-ended challenges. Instead of simple one-shot answers, it forces agents to diagnose bottlenecks, run iterative experiments, and optimize performance across system-level tasks and model development projects. From accelerating C code to fine-tuning large language models, AutoLab tests the practical skills that actually matter in modern research. If you want to push the boundaries of agent capability and see if your models can handle real-world engineering constraints, this is your ultimate testing ground.

🆔 @hackernewsgithubprojects

📦 xbpeng/mimickit

Master Robot Motion with MimicKit

Have you ever wondered how robots learn to move like humans or animals? Meet MimicKit, a lightweight framework designed to help you train motion controllers with ease. It solves the complexity of motion imitation by offering a clean suite of methods like DeepMimic and Adversarial Motion Priors. Whether you are using Isaac Gym or other simulation engines, this codebase keeps dependencies minimal while supporting distributed training on multiple GPUs. It is a fantastic tool for researchers or enthusiasts looking to bridge the gap between simulation and realistic movement. Start training your own motion models today and bring your virtual agents to life.

🆔 @hackernewsgithubprojects

📦 ideogram-oss/ideogram4

Meet Ideogram 4: The New King of Open Image Models

Imagine having a professional design assistant that masters typography and photorealism instantly. Ideogram 4 has arrived as a powerful new open-weight text-to-image model built entirely from scratch. Unlike standard tools, it features a unique structured JSON prompting interface, offering precise control over color palettes and bounding-box layouts. With native two-thousand resolution support and best-in-class multilingual text rendering, it is currently leading benchmarks for open-weight models. Whether you are creating complex posters or realistic photos, this foundation model is designed to push the boundaries of visual intelligence. Discover the future of AI design by experimenting with this release today.

📰 https://news.ycombinator.com/item?id=48385829

🆔 @hackernewsgithubprojects

📦 adscanpro/adscan

Master Active Directory Pentesting on Linux with ADscan

Stop juggling multiple tools for your Active Directory pentesting because there is a better way. ADscan is a powerful Linux command line interface designed to streamline your entire security workflow into one unified experience. It replaces complex toolchains by covering over forty distinct attack techniques, including Kerberoasting, AS-REP roasting, and automated ADCS exploitation, without ever needing a Windows machine. From unauthenticated discovery to mapping complex privilege escalation paths, it handles your entire assessment within a single terminal session. Level up your security testing today by simplifying your toolkit and accelerating your penetration testing results.

🆔 @hackernewsgithubprojects

📦 nvidia/dreamdojo

DreamDojo: Teaching Robots Through Human Video

Ever wondered how robots can learn to understand our complex world? Meet DreamDojo, a groundbreaking foundation world model that learns directly from massive amounts of human video. By leveraging forty-four thousand hours of egocentric footage, it tackles the challenge of generalization across diverse objects and environments. This repository provides the pretraining and post-training code, along with powerful checkpoints to get you started. Thanks to a specialized distillation pipeline, the model achieves stable, long-horizon generation at ten frames per second. It is a massive step forward for physical AI, proving that observing human actions is key to mastering robotic interaction.

🆔 @hackernewsgithubprojects

📦 evo-hq/evo

Evo: Automate Your Code Optimization with AI Research Loops

Want to supercharge your codebase without lifting a finger? Evo is a powerful tool that turns your projects into an autonomous research loop, helping you optimize code through smart experimentation. Instead of manual testing, Evo uses parallel subagents to discover metrics, create benchmarks, and run iterative tree searches to improve performance. It intelligently handles failures, uses gates to maintain code quality, and provides a dashboard to monitor progress across your experiments. Whether you need to speed up a parser or improve efficiency, Evo automates the trial and error process for you. Start optimizing your entire workflow today.

🆔 @hackernewsgithubprojects

📦 swe-agent/mini-swe-agent

Build Powerful AI Agents in 100 Lines of Code

Ever wondered how to build a high-performance AI coding agent without the massive complexity? Meet the mini-swe-agent, a radically simple tool that packs incredible power into just a hundred lines of code. Unlike bloated alternatives, this agent ditches complex scaffolds and custom tools, relying entirely on bash to interact with your environment. It handles tasks independently using subprocess calls, making it surprisingly stable and easy to debug. It even scores over seventy-four percent on benchmark tests. Whether you are a researcher or a developer, this minimal design puts the model in control, offering a truly hackable path to better coding automation.

🆔 @hackernewsgithubprojects

📦 snailsploit/claude-red

Turn Claude Into a Red Team Expert

Want to supercharge your AI for cybersecurity tasks? Check out Claude-Red, a curated library of offensive security skills designed for the Claude system. This project provides structured files that prime Claude with expert-level methodologies across diverse attack surfaces like web exploits, EDR evasion, and exploit development. By dropping these skills into your environment, Claude begins to act like a specialized red team operator, guiding you through complex security challenges with precision. It is a powerful resource for bug bounty hunters and researchers looking to explore attack paths methodically. Give your AI the ultimate security upgrade today.

🆔 @hackernewsgithubprojects

📦 awizemann/scarf

Take Control of Your AI Agent with Scarf

Want total visibility into your AI agent? Meet Scarf, the native macOS and iOS companion app built specifically for the Hermes AI agent. It gives you a clean interface to monitor exactly what your agent is doing, when it acts, and what it creates. Whether you are managing multi-server setups, tweaking project-scoped chats, or auditing your supply chain, Scarf puts the power in your hands. With features like Kanban board management, secret storage, and secure remote access over SSH, it is the ultimate toolkit for power users. Elevate your AI workflow today and see what your agent is really building!

🆔 @hackernewsgithubprojects

📦 capgym/cap-x

Mastering Robot Control with CaP-X

Ever wondered how we can teach robots to think and act using code? Meet CaP-X, a powerful open-access framework designed to benchmark and improve coding agents for robot manipulation. It provides interactive environments where agents control robots by generating Python code, alongside a systematic benchmark to evaluate performance across various tasks. The project even includes a training-free agentic framework and reinforcement learning capabilities for post-training language models to bridge the gap between simulation and the real world. Whether you are experimenting with perception or motion planning, CaP-X gives you the tools to advance intelligent robotics today.

🆔 @hackernewsgithubprojects

📦 adrianhajdin/ai-resume-analyzer

Build an AI Resume Analyzer with React and Puter.js

Ever wonder how to build an intelligent app without a complex backend? This project shows you how to create an AI-powered resume analyzer using React and Puter.js. It simplifies the hiring process by letting users securely upload resumes and get instant AI-driven evaluations and ATS scores tailored to specific job listings. By leveraging Puter.js, you can handle authentication and storage directly in the browser, keeping your development process smooth and efficient. It is a fantastic way to master modern web tools and build a professional, reusable interface. Dive into the code to level up your development skills today.

🆔 @hackernewsgithubprojects

📦 artificialanalysis/stirrup

Build Better AI Agents with Stirrup

Are you tired of rigid AI frameworks that restrict how your models solve complex tasks? Meet Stirrup, a lightweight foundation designed to let your AI agents think for themselves. Unlike restrictive alternatives, it gives models the freedom to choose their own approach while providing essential, built-in tools like web searching, document handling, and local code execution. Whether you need human-in-the-loop feedback or modular skill extensions, this framework makes custom agent development truly intuitive. It is fully customizable, helping you build powerful agents that work with the model instead of against it. Start building your next generation of AI agents today.

🆔 @hackernewsgithubprojects

📦 sakanaai/sparser-faster-llms

Make Your LLMs Faster and Lighter with Sparsity

Are your language models struggling with high memory usage and slow speeds? This project introduces a breakthrough approach to making transformer models leaner and faster. By leveraging custom CUDA kernels built for H100 hardware, this repository provides the necessary tools to implement sparse training and inference using the efficient TwELL packing format. Whether you are running inference or training, these specialized kernels help you optimize your models for better throughput while reducing memory requirements significantly. It is a powerful way to push your AI performance to the next level. Start exploring these new sparse model capabilities today.

🆔 @hackernewsgithubprojects

📦 cybertronai/schmidhuber-problems

Exploring 58 Landmark AI Problems

Ever wonder how legendary AI research from the past actually works under the hood? The Schmidhuber Problems repository is a fascinating collection featuring fifty-eight synthetic learning problems derived from decades of pioneering research. This project brings complex algorithmic history to life using pure numpy implementations that run easily on your own laptop. From early neural architectures to modern curiosity loops and world models, each entry includes training code, evaluation metrics, and even animated visualizations. It is an incredible way to study the evolution of AI algorithms through a hands-on, reproducible lens. Dive in to start your own algorithmic journey.

🆔 @hackernewsgithubprojects

📦 lasselian/prism-desktop

Control Your Smart Home from Your Desktop

Tired of juggling browser tabs just to control your smart home? Meet Prism Desktop, a lightweight, native client for Windows and Linux that brings your Home Assistant dashboard directly to your system tray. It solves the clutter problem by giving you instant, real-time control over lights, sensors, and even 3D printers without needing a browser. You can drag and drop tiles, trigger global keyboard shortcuts, and receive desktop notifications for alerts. It is a fantastic way to streamline your smart home management with a sleek, customizable interface. Give your PC full control and make your home smarter today.

🆔 @hackernewsgithubprojects

📦 nvidia/flashdreams

Powering Next-Gen World Models with NVIDIA FlashDreams

Ever wonder how AI creates interactive, real-time virtual worlds? Meet FlashDreams, a high-performance inference and serving library designed specifically for autoregressive video and complex world models. Originally powering NVIDIA's advanced OmniDreams demonstrations, this platform now enables developers to build cutting-edge applications for gaming, robotics, and autonomous vehicles. It provides robust integrations for various video generation models, allowing you to run powerful simulations with impressive speed and efficiency. Whether you are working on interactive driving scenarios or sophisticated video super-resolution, FlashDreams offers the specialized toolkit you need to bring your most ambitious virtual environments to life.

🆔 @hackernewsgithubprojects

📦 mrfadiai/polymarket-bot

Automate Your Polymarket Trades with Enhanced Risk Management

Want to automate your trades on Polymarket while keeping your capital safe? This open-source trading bot is designed to handle that for you, featuring a powerful four-layer protection system that guards against significant losses. It helps you mirror successful traders by filtering for high win rates and consistent performance while automatically adjusting your position sizes based on your results. With a built-in dashboard for real-time monitoring and an easy simulation mode, you can test your strategies without risking real money. Set it up today to trade smarter, stay disciplined, and take full control of your automated market strategy.

🆔 @hackernewsgithubprojects

📦 yvgude/lean-ctx

Stop Wasting AI Tokens: The Ultimate Context OS

Are you tired of your AI coding agent constantly wasting tokens and forgetting your project details? Meet LeanCTX, the intelligent context layer that acts like an operating system for your AI interactions. This powerful local tool compresses your data, remembers essential information across different chat sessions, and routes information with precision to keep your workflow efficient. By slashing token usage for file reads and shell outputs, it helps you save significant money while keeping your coding sessions focused and productive. Take control of your AI's context window today and experience a much smarter, leaner way to code.

🆔 @hackernewsgithubprojects