MCP-Scan is a security scanning tool designed to detect common security vulnerabilities in Model Context Protocol (MCP) servers. It can auto-discover various MCP configurations, scan both local and remote servers for security issues like prompt injection attacks, tool poisoning attacks, and toxic flows. The tool operates in two main modes - 'scan' for static scanning of installed servers and 'proxy' for real-time monitoring and guardrailing of MCP connections. It offers features like scanning for specific attacks, enforcing guardrailing policies, auditing MCP traffic, and detecting changes to MCP tools. MCP-Scan does not store or log usage data and can be used to enhance the security of MCP environments.

This repository contains a demo application for DepthAI, a tool that can load different networks, create pipelines, record video, and more. It provides documentation for installation and usage, including running programs through Docker. Users can explore DepthAI features via command line arguments or a clickable QT interface. Supported models include various AI models for tasks like face detection, human pose estimation, and object detection. The tool collects anonymous usage statistics by default, which can be disabled. Users can report issues to the development team for support and troubleshooting.

Markdowner is a fast tool designed to convert any website into LLM-ready markdown data. It aims to improve the quality of responses in the AI app Supermemory by structuring and predicting data in markdown format. The tool offers features such as website conversion, LLM filtering, detailed markdown mode, auto crawler, text and JSON responses, and easy self-hosting. Markdowner utilizes Cloudflare's Browser rendering and Durable objects for browser instance creation and markdown conversion. Users can self-host the project with the Workers paid plan, following simple steps. Support the project by starring the repository.

Paddler is an open-source load balancer and reverse proxy designed specifically for optimizing servers running llama.cpp. It overcomes typical load balancing challenges by maintaining a stateful load balancer that is aware of each server's available slots, ensuring efficient request distribution. Paddler also supports dynamic addition or removal of servers, enabling integration with autoscaling tools.

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

CodiumAI Cover Agent is a tool designed to help increase code coverage by automatically generating qualified tests to enhance existing test suites. It utilizes Generative AI to streamline development workflows and is part of a suite of utilities aimed at automating the creation of unit tests for software projects. The system includes components like Test Runner, Coverage Parser, Prompt Builder, and AI Caller to simplify and expedite the testing process, ensuring high-quality software development. Cover Agent can be run via a terminal and is planned to be integrated into popular CI platforms. The tool outputs debug files locally, such as generated_prompt.md, run.log, and test_results.html, providing detailed information on generated tests and their status. It supports multiple LLMs and allows users to specify the model to use for test generation.

The LlamaEdge project makes it easy to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally. It provides a Rust+Wasm stack for fast, portable, and secure LLM inference on heterogeneous edge devices. The project includes source code for text generation, chatbot, and API server applications, supporting all LLMs based on the llama2 framework in the GGUF format. LlamaEdge is committed to continuously testing and validating new open-source models and offers a list of supported models with download links and startup commands. It is cross-platform, supporting various OSes, CPUs, and GPUs, and provides troubleshooting tips for common errors.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

A Python interface for creating battling Pokemon agents, 'poke-env' allows users to develop rule-based or Reinforcement Learning bots to battle on Pokemon Showdown. The tool provides an easy-to-use interface for agent creation and offers documentation, examples, and starting code for beginners. Users can install 'poke-env' via pip and set up a development server for testing. The project is inspired by an artificial intelligence class project and relies on data from Smogon forums' RMT section. It is licensed under MIT and can be cited using a provided BibTeX entry.

This repository contains code for research conducted by the LLM-Random research group at IDEAS NCBR in Warsaw, Poland. The group focuses on developing and using this repository to conduct research. For more information about the group and its research, refer to their blog, llm-random.github.io.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

Lightpanda Browser is an open-source headless browser designed for fast web automation, AI agents, LLM training, scraping, and testing. It features ultra-low memory footprint, exceptionally fast execution, and compatibility with Playwright and Puppeteer through CDP. Built for performance, Lightpanda offers Javascript execution, support for Web APIs, and is optimized for minimal memory usage. It is a modern solution for web scraping and automation tasks, providing a lightweight alternative to traditional browsers like Chrome.

MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities: * Emotional speech rhythm and tone in English. * Zero-shot cloning for American & British voices, with 30s reference audio. * Support for (cross-lingual) voice cloning with finetuning. * We have had success with as little as 1 minute training data for Indian speakers. * Synthesis of arbitrary length text

The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.

IOPaint is a free and open-source inpainting & outpainting tool powered by SOTA AI model. It supports various AI models to perform erase, inpainting, or outpainting tasks. Users can remove unwanted objects, defects, watermarks, or people from images using erase models. Additionally, diffusion models can replace objects or perform outpainting. The tool also offers plugins for interactive object segmentation, background removal, anime segmentation, super resolution, face restoration, and file management. IOPaint provides a web UI for easy access to the latest AI models and supports batch processing of images through the command line. Developers can contribute to the project by installing front-end dependencies, setting up the backend, and starting the development environment for both front-end and back-end components.

Voice Chat AI is a project that allows users to interact with different AI characters using speech. Users can choose from various characters with unique personalities and voices, and have conversations or role play with them. The project supports OpenAI, xAI, or Ollama language models for chat, and provides text-to-speech synthesis using XTTS, OpenAI TTS, or ElevenLabs. Users can seamlessly integrate visual context into conversations by having the AI analyze their screen. The project offers easy configuration through environment variables and can be run via WebUI or Terminal. It also includes a huge selection of built-in characters for engaging conversations.

MCP-Scan is a security scanning tool designed to detect common security vulnerabilities in Model Context Protocol (MCP) servers. It can auto-discover various MCP configurations, scan both local and remote servers for security issues like prompt injection attacks, tool poisoning attacks, and toxic flows. The tool operates in two main modes - 'scan' for static scanning of installed servers and 'proxy' for real-time monitoring and guardrailing of MCP connections. It offers features like scanning for specific attacks, enforcing guardrailing policies, auditing MCP traffic, and detecting changes to MCP tools. MCP-Scan does not store or log usage data and can be used to enhance the security of MCP environments.

TheAuditor is an offline-first, AI-centric SAST & code intelligence platform designed to find security vulnerabilities, track data flow, analyze architecture, detect refactoring issues, run industry-standard tools, and produce AI-ready reports. It is specifically tailored for AI-assisted development workflows, providing verifiable ground truth for developers and AI assistants. The tool orchestrates verifiable data, focuses on AI consumption, and is extensible to support Python and Node.js ecosystems. The comprehensive analysis pipeline includes stages for foundation, concurrent analysis, and final aggregation, offering features like refactoring detection, dependency graph visualization, and optional insights analysis. The tool interacts with antivirus software to identify vulnerabilities, triggers performance impacts, and provides transparent information on common issues and troubleshooting. TheAuditor aims to address the lack of ground truth in AI development workflows and make AI development trustworthy by providing accurate security analysis and code verification.

Awesome-AI-Security is a curated list of resources for AI security, including tools, research papers, articles, and tutorials. It aims to provide a comprehensive overview of the latest developments in securing AI systems and preventing vulnerabilities. The repository covers topics such as adversarial attacks, privacy protection, model robustness, and secure deployment of AI applications. Whether you are a researcher, developer, or security professional, this collection of resources will help you stay informed and up-to-date in the rapidly evolving field of AI security.

Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

The 'Awesome Business of Cybersecurity' repository is a comprehensive resource exploring the cybersecurity market, focusing on publicly traded companies, industry strategy, and AI capabilities. It provides insights into how cybersecurity companies operate, compete, and evolve across 18 solution categories and beyond. The repository offers structured information on the cybersecurity market snapshot, specialists vs. multiservice cybersecurity companies, cybersecurity stock lists, endpoint protection and threat detection, network security, identity and access management, cloud and application security, data protection and governance, security analytics and threat intelligence, non-US traded cybersecurity companies, cybersecurity ETFs, blogs and newsletters, podcasts, market insights and research, and cybersecurity solutions categories.

MCP-Scan is a security scanning tool designed to detect common security vulnerabilities in Model Context Protocol (MCP) servers. It can auto-discover various MCP configurations, scan both local and remote servers for security issues like prompt injection attacks, tool poisoning attacks, and toxic flows. The tool operates in two main modes - 'scan' for static scanning of installed servers and 'proxy' for real-time monitoring and guardrailing of MCP connections. It offers features like scanning for specific attacks, enforcing guardrailing policies, auditing MCP traffic, and detecting changes to MCP tools. MCP-Scan does not store or log usage data and can be used to enhance the security of MCP environments.

This script automates setting up TUIC, hysteria and other proxy-related tools in Linux. It features setting domains, getting SSL certification, setting up a simple web page, SmartSNI by Bepass, Chisel Tunnel, Hysteria V2, Tuic, Hiddify Reality Scanner, SSH, Telegram Proxy, Reverse TLS Tunnel, different panels, installing, disabling, and enabling Warp, Sing Box 4-in-1 script, showing ports in use and their corresponding processes, and an Android script to use Chisel tunnel.

AirCrackAuto is a tool that automates the aircrack-ng process for Wi-Fi hacking. It is designed to make it easier for users to crack Wi-Fi passwords by automating the process of capturing packets, generating wordlists, and launching attacks. AirCrackAuto is a powerful tool that can be used to crack Wi-Fi passwords in a matter of minutes.