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📦 plantpotatoonmoon/hpsv3-plusplus
HPSv3++: Scaling Reward Models for AI Image Generation
HPSv3++ is the advanced reward model that enables consistent image preference scoring across diverse generative capabilities and reinforcement learning stages. This repository provides a two-stage training pipeline and evaluation framework for a reward model that uses a capability encoder and feature-wise linear modulation to adapt to different generator qualities. It addresses the challenge of maintaining accurate preference signals throughout the optimization process of diffusion models. Users can utilize the provided scripts and weights to score images based on text-following and aesthetic quality, ensuring reliable feedback during development. Incorporate this tool to refine your AI image generation workflows.
🆔 @hackernewsgithubprojects
HPSv3++: Scaling Reward Models for AI Image Generation
HPSv3++ is the advanced reward model that enables consistent image preference scoring across diverse generative capabilities and reinforcement learning stages. This repository provides a two-stage training pipeline and evaluation framework for a reward model that uses a capability encoder and feature-wise linear modulation to adapt to different generator qualities. It addresses the challenge of maintaining accurate preference signals throughout the optimization process of diffusion models. Users can utilize the provided scripts and weights to score images based on text-following and aesthetic quality, ensuring reliable feedback during development. Incorporate this tool to refine your AI image generation workflows.
🆔 @hackernewsgithubprojects
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📦 wanhaoniu/eagg
Generate Precise Robotic Grasps Across Different Hands
Create object-conditioned grasps for diverse robotic hands and grippers by leveraging their specific geometry and structure. This project solves the challenge of generalizing across different hand embodiments by using topology-aware graphs and iterative geometry injection to keep the generator synchronized with evolving contact points during sampling. By processing articulated states into geometry-aware tokens, the system enables effective grasping without forcing heterogeneous hardware into a shared control space. You can use these tools to generate and visualize high-quality grasp candidates across various end effectors and objects, providing a robust solution for complex robotic manipulation tasks.
🆔 @hackernewsgithubprojects
Generate Precise Robotic Grasps Across Different Hands
Create object-conditioned grasps for diverse robotic hands and grippers by leveraging their specific geometry and structure. This project solves the challenge of generalizing across different hand embodiments by using topology-aware graphs and iterative geometry injection to keep the generator synchronized with evolving contact points during sampling. By processing articulated states into geometry-aware tokens, the system enables effective grasping without forcing heterogeneous hardware into a shared control space. You can use these tools to generate and visualize high-quality grasp candidates across various end effectors and objects, providing a robust solution for complex robotic manipulation tasks.
🆔 @hackernewsgithubprojects
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📦 kodiqa-solutions/vaults3
Run a Powerful S3-Compatible Storage Server in Under 80MB
Deploy a lightweight, S3-compatible object storage server that runs as a single binary and uses less than 80MB of RAM. This tool provides a built-in React web dashboard for managing files, audit trails, and bucket policies without needing heavy external dependencies. It supports advanced features like AES-256 encryption at rest, bucket versioning, object locking, and even full-text search across your stored metadata. By combining high performance with a low memory footprint, it offers a robust alternative to larger storage solutions for your infrastructure needs. Simplify your object management and start serving your data efficiently today.
🆔 @hackernewsgithubprojects
Run a Powerful S3-Compatible Storage Server in Under 80MB
Deploy a lightweight, S3-compatible object storage server that runs as a single binary and uses less than 80MB of RAM. This tool provides a built-in React web dashboard for managing files, audit trails, and bucket policies without needing heavy external dependencies. It supports advanced features like AES-256 encryption at rest, bucket versioning, object locking, and even full-text search across your stored metadata. By combining high performance with a low memory footprint, it offers a robust alternative to larger storage solutions for your infrastructure needs. Simplify your object management and start serving your data efficiently today.
🆔 @hackernewsgithubprojects
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📦 jamesmontemagno/pdf-diff
Compare PDF Files Securely and Privately
Compare your PDF documents directly in your browser with complete privacy using this tool. Because it processes files entirely on your device, your data never leaves your computer or gets uploaded to a server, ensuring total security. The interface offers multiple comparison modes including side-by-side, unified, and filtered views to highlight additions or removals instantly. You can even generate formatted PDF reports from your results or use the command-line interface for automated tasks. It is a highly efficient way to spot document changes without risking your sensitive information, giving you peace of mind while staying productive.
🆔 @hackernewsgithubprojects
Compare PDF Files Securely and Privately
Compare your PDF documents directly in your browser with complete privacy using this tool. Because it processes files entirely on your device, your data never leaves your computer or gets uploaded to a server, ensuring total security. The interface offers multiple comparison modes including side-by-side, unified, and filtered views to highlight additions or removals instantly. You can even generate formatted PDF reports from your results or use the command-line interface for automated tasks. It is a highly efficient way to spot document changes without risking your sensitive information, giving you peace of mind while staying productive.
🆔 @hackernewsgithubprojects
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📦 dariulone/cyberpunk-vr-port
Play Cyberpunk 2077 in Full VR
Transform Cyberpunk 2077 into a fully immersive virtual reality experience by injecting OpenXR head tracking and stereo rendering directly into the game engine. This project adds a complete full-body avatar with motion-controlled hands, enabling you to aim weapons independently and perform motion-based melee attacks. You can manage your gear with immersive hand-to-holster equipping and customize everything through a convenient in-headset overlay. By merging VR controller inputs with native game mechanics, this mod bridges the gap between traditional gameplay and virtual reality. Download this experimental port to bring the streets of Night City to life in your headset.
🆔 @hackernewsgithubprojects
Play Cyberpunk 2077 in Full VR
Transform Cyberpunk 2077 into a fully immersive virtual reality experience by injecting OpenXR head tracking and stereo rendering directly into the game engine. This project adds a complete full-body avatar with motion-controlled hands, enabling you to aim weapons independently and perform motion-based melee attacks. You can manage your gear with immersive hand-to-holster equipping and customize everything through a convenient in-headset overlay. By merging VR controller inputs with native game mechanics, this mod bridges the gap between traditional gameplay and virtual reality. Download this experimental port to bring the streets of Night City to life in your headset.
🆔 @hackernewsgithubprojects
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📦 1999kevin/awesome_medical_world_models
Understanding Medical World Models: A Curated Research Collection
Navigate the complex intersection of artificial intelligence and healthcare by exploring a focused collection of academic papers dedicated to medical world models. This repository centralizes research on representing medical states, modeling clinical dynamics, and guiding intervention policies across diverse modalities like X-rays, MRI scans, and electronic health records. By documenting techniques such as latent predictive architectures and spatiotemporal trajectory modeling, the project serves as a key resource for researchers building patient or organ-level simulators. Delve into this curated library to understand how world models are advancing medical diagnosis and clinical decision support systems for more informed patient care.
🆔 @hackernewsgithubprojects
Understanding Medical World Models: A Curated Research Collection
Navigate the complex intersection of artificial intelligence and healthcare by exploring a focused collection of academic papers dedicated to medical world models. This repository centralizes research on representing medical states, modeling clinical dynamics, and guiding intervention policies across diverse modalities like X-rays, MRI scans, and electronic health records. By documenting techniques such as latent predictive architectures and spatiotemporal trajectory modeling, the project serves as a key resource for researchers building patient or organ-level simulators. Delve into this curated library to understand how world models are advancing medical diagnosis and clinical decision support systems for more informed patient care.
🆔 @hackernewsgithubprojects
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📦 vercel-labs/skills
Master Your Coding Agents with This CLI Tool
Extend the capabilities of your favorite coding agents by managing reusable instruction sets directly from your terminal. This tool provides a unified command line interface to discover, install, and update agent skills, which are structured instruction files that help your AI perform specialized tasks like generating release notes or integrating external workflows. By supporting dozens of popular agents, it simplifies how you maintain and share custom behaviors across your development projects. Whether you are adding skills globally or locally, this utility ensures your coding assistants stay powerful and consistently configured, letting you focus on writing great software.
🆔 @hackernewsgithubprojects
Master Your Coding Agents with This CLI Tool
Extend the capabilities of your favorite coding agents by managing reusable instruction sets directly from your terminal. This tool provides a unified command line interface to discover, install, and update agent skills, which are structured instruction files that help your AI perform specialized tasks like generating release notes or integrating external workflows. By supporting dozens of popular agents, it simplifies how you maintain and share custom behaviors across your development projects. Whether you are adding skills globally or locally, this utility ensures your coding assistants stay powerful and consistently configured, letting you focus on writing great software.
🆔 @hackernewsgithubprojects
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📦 ekkolearnai/hermes-studio
Manage Your AI Agents with Hermes Studio
Control your AI experience by using this comprehensive web dashboard designed for the Hermes Agent. It allows you to manage multi-platform chat sessions, monitor usage analytics, and configure scheduled jobs all from one centralized interface. You can handle profile-specific file uploads, run coding agents, and even interact with voice input or output across various platforms like Telegram, Discord, and Slack. With support for local SQLite storage and robust session management, it makes organizing your AI workflows simple and efficient. Whether you are using the desktop app or a containerized setup, take full command of your agent runtime today.
🆔 @hackernewsgithubprojects
Manage Your AI Agents with Hermes Studio
Control your AI experience by using this comprehensive web dashboard designed for the Hermes Agent. It allows you to manage multi-platform chat sessions, monitor usage analytics, and configure scheduled jobs all from one centralized interface. You can handle profile-specific file uploads, run coding agents, and even interact with voice input or output across various platforms like Telegram, Discord, and Slack. With support for local SQLite storage and robust session management, it makes organizing your AI workflows simple and efficient. Whether you are using the desktop app or a containerized setup, take full command of your agent runtime today.
🆔 @hackernewsgithubprojects
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📦 gglucass/headroom-desktop
Slash Your Claude Code and Codex Token Costs by 50%
Reduce your AI token costs by half without changing your coding workflow by using this local-first desktop application. Designed for macOS, the app routes your Claude Code and Codex traffic through an automated optimization pipeline that reversibly compresses prompt bloat, logs, and tool outputs before they ever reach the LLM. It manages its own isolated Python runtime and provides a clear dashboard to track your real-time token savings and pipeline health. By stripping out redundant data while keeping everything retrievable on demand, this tool ensures your existing AI plan stretches twice as far, giving you more efficient development cycles today.
🆔 @hackernewsgithubprojects
Slash Your Claude Code and Codex Token Costs by 50%
Reduce your AI token costs by half without changing your coding workflow by using this local-first desktop application. Designed for macOS, the app routes your Claude Code and Codex traffic through an automated optimization pipeline that reversibly compresses prompt bloat, logs, and tool outputs before they ever reach the LLM. It manages its own isolated Python runtime and provides a clear dashboard to track your real-time token savings and pipeline health. By stripping out redundant data while keeping everything retrievable on demand, this tool ensures your existing AI plan stretches twice as far, giving you more efficient development cycles today.
🆔 @hackernewsgithubprojects
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📦 dtc111111/gaussiandwm
GaussianDWM: A Unified World Model for Autonomous Driving
GaussianDWM serves as a unified framework that bridges scene understanding and multi-modal generation for autonomous driving. By utilizing 3D Gaussian Splatting, it effectively encodes complex driving environments into a representation that language models can process. This capability allows the system to perform accurate task-aware sampling, which solves the challenge of handling dense 3D information while preserving vital spatial details for future scene prediction. It supports both detailed question answering and dual-condition generation, providing a versatile tool for analyzing driving scenarios. This unified approach enables researchers to bridge the gap between simple comprehension and dynamic, coherent spatial scene synthesis.
🆔 @hackernewsgithubprojects
GaussianDWM: A Unified World Model for Autonomous Driving
GaussianDWM serves as a unified framework that bridges scene understanding and multi-modal generation for autonomous driving. By utilizing 3D Gaussian Splatting, it effectively encodes complex driving environments into a representation that language models can process. This capability allows the system to perform accurate task-aware sampling, which solves the challenge of handling dense 3D information while preserving vital spatial details for future scene prediction. It supports both detailed question answering and dual-condition generation, providing a versatile tool for analyzing driving scenarios. This unified approach enables researchers to bridge the gap between simple comprehension and dynamic, coherent spatial scene synthesis.
🆔 @hackernewsgithubprojects
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📦 bikini/exploitarium
Exploitarium: A Collection of Public Exploit Proofs
This repository functions as a consolidated archive of public proof-of-concept exploits and vulnerability research writeups covering a wide range of software. It serves as a centralized resource where each folder contains self-contained research, including implementation details for various vulnerabilities in applications like 7-Zip, AnyDesk, and c-ares. The project includes code to verify these findings, such as Python scripts for reproducing COM impersonation or C harnesses that demonstrate heap-sensitive control-flow manipulation. By documenting these research paths and providing functional proofs, this archive allows developers and security researchers to audit vulnerabilities and understand the technical mechanics behind current exploits.
🆔 @hackernewsgithubprojects
Exploitarium: A Collection of Public Exploit Proofs
This repository functions as a consolidated archive of public proof-of-concept exploits and vulnerability research writeups covering a wide range of software. It serves as a centralized resource where each folder contains self-contained research, including implementation details for various vulnerabilities in applications like 7-Zip, AnyDesk, and c-ares. The project includes code to verify these findings, such as Python scripts for reproducing COM impersonation or C harnesses that demonstrate heap-sensitive control-flow manipulation. By documenting these research paths and providing functional proofs, this archive allows developers and security researchers to audit vulnerabilities and understand the technical mechanics behind current exploits.
🆔 @hackernewsgithubprojects
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📦 hamed-elfayome/claude-usage-tracker
Track Your Claude AI Usage on macOS
Monitor your Claude AI usage limits in real-time directly from your macOS menu bar with this native application. Built using Swift and SwiftUI, the project provides a seamless way to keep an eye on your consumption and stay informed about your remaining session capacity. It features a detailed six-tier pace system to visualize your usage urgency, customizable color modes for the interface, and clear labels for status tracking. By integrating directly into your system menu bar, it removes the need to manually check limits, helping you manage your AI workflow more efficiently and effectively throughout the day.
🆔 @hackernewsgithubprojects
Track Your Claude AI Usage on macOS
Monitor your Claude AI usage limits in real-time directly from your macOS menu bar with this native application. Built using Swift and SwiftUI, the project provides a seamless way to keep an eye on your consumption and stay informed about your remaining session capacity. It features a detailed six-tier pace system to visualize your usage urgency, customizable color modes for the interface, and clear labels for status tracking. By integrating directly into your system menu bar, it removes the need to manually check limits, helping you manage your AI workflow more efficiently and effectively throughout the day.
🆔 @hackernewsgithubprojects
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📦 quant-sentiment-ai/claude-equity-research
Generate Institutional-Grade Equity Research with Claude
Generate professional equity research reports directly within your workflow by installing this plugin for Claude Code. This tool pulls real-time market data, earnings reports, and analyst coverage to produce comprehensive analysis, including fundamental metrics, technical indicators, and risk assessments. You can quickly run institutional-style evaluations for any ticker with actionable buy, sell, or hold recommendations that incorporate probability-weighted scenarios. It is an excellent resource for students or analysts looking to automate preliminary due diligence, providing structured insights for US-listed stocks. Simply use the slash command to start analyzing today, and always remember to conduct your own independent research.
🆔 @hackernewsgithubprojects
Generate Institutional-Grade Equity Research with Claude
Generate professional equity research reports directly within your workflow by installing this plugin for Claude Code. This tool pulls real-time market data, earnings reports, and analyst coverage to produce comprehensive analysis, including fundamental metrics, technical indicators, and risk assessments. You can quickly run institutional-style evaluations for any ticker with actionable buy, sell, or hold recommendations that incorporate probability-weighted scenarios. It is an excellent resource for students or analysts looking to automate preliminary due diligence, providing structured insights for US-listed stocks. Simply use the slash command to start analyzing today, and always remember to conduct your own independent research.
🆔 @hackernewsgithubprojects
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📦 luwill/research-skills
Automate Academic Research with AI Agent Skills
Research workflows are being transformed by a collection of specialized AI agent skills designed to handle academic tasks with high precision. This project encapsulates common research processes into portable modules that integrate directly into Claude Code. It offers tools for writing systematic medical imaging literature reviews, generating professional academic slide decks from PDFs with automatic figure extraction, and drafting PhD-level research proposals. A collaborative multi-agent system also allows five distinct roles to work in tandem on survey papers. By adopting these structured workflows, you can replace manual drudgery with a more reliable and consistent research process.
🆔 @hackernewsgithubprojects
Automate Academic Research with AI Agent Skills
Research workflows are being transformed by a collection of specialized AI agent skills designed to handle academic tasks with high precision. This project encapsulates common research processes into portable modules that integrate directly into Claude Code. It offers tools for writing systematic medical imaging literature reviews, generating professional academic slide decks from PDFs with automatic figure extraction, and drafting PhD-level research proposals. A collaborative multi-agent system also allows five distinct roles to work in tandem on survey papers. By adopting these structured workflows, you can replace manual drudgery with a more reliable and consistent research process.
🆔 @hackernewsgithubprojects
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📦 jane-xiaoer/xiaoer-videolab
Xiaoer VideoLab: One-Click Local Video Downloads
Xiaoer VideoLab is the browser extension that finally lets you download videos directly to your local folder with a single click. Instead of relying on privacy-invasive extensions, this project uses a tiny, local background daemon powered by the battle-tested yt-dlp to handle your downloads. It supports over 1800 sites, including YouTube, Bilibili, and Instagram, without sending your data to external servers. Because all the processing happens right on your machine, you get full control over your files and keep your browsing private. Install the engine once and simplify your entire video-saving workflow for good.
🆔 @hackernewsgithubprojects
Xiaoer VideoLab: One-Click Local Video Downloads
Xiaoer VideoLab is the browser extension that finally lets you download videos directly to your local folder with a single click. Instead of relying on privacy-invasive extensions, this project uses a tiny, local background daemon powered by the battle-tested yt-dlp to handle your downloads. It supports over 1800 sites, including YouTube, Bilibili, and Instagram, without sending your data to external servers. Because all the processing happens right on your machine, you get full control over your files and keep your browsing private. Install the engine once and simplify your entire video-saving workflow for good.
🆔 @hackernewsgithubprojects
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📦 saihgupr/dmgmaker
Create Professional macOS Installers with DMGMaker
Package your macOS applications into professional disk images using this dedicated creation tool. It simplifies the process by generating high-quality installers featuring live-rendered SwiftUI mesh gradients and a sleek glassmorphic interface that looks sharp on Retina displays. You can drag and drop your files directly into the intuitive interface or utilize the command-line support to integrate DMG creation into your automated build pipelines. By including specialized naming logic to prevent Finder display issues, this project ensures your installer looks polished and professional. Grab this tool to streamline your software distribution and create refined, user-ready installers effortlessly.
🆔 @hackernewsgithubprojects
Create Professional macOS Installers with DMGMaker
Package your macOS applications into professional disk images using this dedicated creation tool. It simplifies the process by generating high-quality installers featuring live-rendered SwiftUI mesh gradients and a sleek glassmorphic interface that looks sharp on Retina displays. You can drag and drop your files directly into the intuitive interface or utilize the command-line support to integrate DMG creation into your automated build pipelines. By including specialized naming logic to prevent Finder display issues, this project ensures your installer looks polished and professional. Grab this tool to streamline your software distribution and create refined, user-ready installers effortlessly.
🆔 @hackernewsgithubprojects
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📦 opensensenova/sensenova-skills
Automate Office Tasks with Modular AI Skills
The SenseNova Skills repository provides a modular toolkit for building AI-powered office assistants that automate complex productivity workflows. It operates by plugging into agent runtimes, allowing users to execute tasks like advanced Excel data analysis, deep research, and automated presentation generation. The project uses structured skill directories to define specific capabilities, such as cleaning Excel data, creating charts, or generating business-ready slide decks through standardized prompts. By integrating these tools, users can transition from raw data to finished reports or professional infographics without manual overhead. This project offers a practical way to standardize and scale AI-driven office automation.
🆔 @hackernewsgithubprojects
Automate Office Tasks with Modular AI Skills
The SenseNova Skills repository provides a modular toolkit for building AI-powered office assistants that automate complex productivity workflows. It operates by plugging into agent runtimes, allowing users to execute tasks like advanced Excel data analysis, deep research, and automated presentation generation. The project uses structured skill directories to define specific capabilities, such as cleaning Excel data, creating charts, or generating business-ready slide decks through standardized prompts. By integrating these tools, users can transition from raw data to finished reports or professional infographics without manual overhead. This project offers a practical way to standardize and scale AI-driven office automation.
🆔 @hackernewsgithubprojects
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📦 tetherto/qvac
Build Peer-to-Peer AI Apps Locally with QVAC
QVAC enables you to run AI tasks like LLMs, speech recognition, and image generation entirely offline across mobile and desktop devices. By providing a unified JavaScript SDK, this open-source ecosystem removes the need for cloud providers, keeping data private and local. It also introduces unique peer-to-peer capabilities, allowing you to delegate complex AI inference to other machines. Whether you are building apps for Android, iOS, or desktop, this framework offers a consistent way to integrate high-performance models while supporting standard APIs. It is a powerful toolkit for developers who want to create truly decentralized, local-first artificial intelligence systems.
📰 https://news.ycombinator.com/item?id=48687796
🆔 @hackernewsgithubprojects
Build Peer-to-Peer AI Apps Locally with QVAC
QVAC enables you to run AI tasks like LLMs, speech recognition, and image generation entirely offline across mobile and desktop devices. By providing a unified JavaScript SDK, this open-source ecosystem removes the need for cloud providers, keeping data private and local. It also introduces unique peer-to-peer capabilities, allowing you to delegate complex AI inference to other machines. Whether you are building apps for Android, iOS, or desktop, this framework offers a consistent way to integrate high-performance models while supporting standard APIs. It is a powerful toolkit for developers who want to create truly decentralized, local-first artificial intelligence systems.
📰 https://news.ycombinator.com/item?id=48687796
🆔 @hackernewsgithubprojects
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📦 blendi-remade/sprite-sheet-creator
Build Pixel Art Assets with AI
This application generates custom pixel art characters and game maps directly from text prompts using integrated artificial intelligence models. It streamlines the game development workflow by automatically creating multi-frame sprite sheets for side-scrolling or isometric RPG modes, complete with character animations and layered parallax backgrounds. Built with Next.js and the fal.ai platform, the tool also includes practical features like background removal, frame extraction, and interactive sandboxes for testing movement at adjustable speeds. It provides a specialized environment for creators to prototype 2D game assets efficiently, offering a cohesive pipeline from initial character generation to final animated preview.
🆔 @hackernewsgithubprojects
Build Pixel Art Assets with AI
This application generates custom pixel art characters and game maps directly from text prompts using integrated artificial intelligence models. It streamlines the game development workflow by automatically creating multi-frame sprite sheets for side-scrolling or isometric RPG modes, complete with character animations and layered parallax backgrounds. Built with Next.js and the fal.ai platform, the tool also includes practical features like background removal, frame extraction, and interactive sandboxes for testing movement at adjustable speeds. It provides a specialized environment for creators to prototype 2D game assets efficiently, offering a cohesive pipeline from initial character generation to final animated preview.
🆔 @hackernewsgithubprojects
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📦 zeroleaks/zeroleaks
ZeroLeaks: Autonomous AI Security Scanning
ZeroLeaks is the autonomous security scanner that systematically tests LLM systems for prompt injection and data extraction vulnerabilities. It utilizes a sophisticated multi-agent architecture featuring strategist, attacker, and evaluator agents to simulate real-world attacks using modern techniques like many-shot, crescendo, and chain-of-thought hijacking. The platform explores diverse attack vectors, including tool exploits and social engineering, while fingerprinting existing defenses to identify potential weaknesses before they can be exploited. By integrating research-backed methods into your workflow, this tool provides a robust way to assess your system's resilience. Secure your AI models by uncovering hidden vulnerabilities today.
🆔 @hackernewsgithubprojects
ZeroLeaks: Autonomous AI Security Scanning
ZeroLeaks is the autonomous security scanner that systematically tests LLM systems for prompt injection and data extraction vulnerabilities. It utilizes a sophisticated multi-agent architecture featuring strategist, attacker, and evaluator agents to simulate real-world attacks using modern techniques like many-shot, crescendo, and chain-of-thought hijacking. The platform explores diverse attack vectors, including tool exploits and social engineering, while fingerprinting existing defenses to identify potential weaknesses before they can be exploited. By integrating research-backed methods into your workflow, this tool provides a robust way to assess your system's resilience. Secure your AI models by uncovering hidden vulnerabilities today.
🆔 @hackernewsgithubprojects