Nes2Net is a lightweight nested architecture designed for foundation model-driven speech anti-fraud tasks, featuring a low error rate and suitability for audio deepfake detection. This model performs excellently on multiple datasets, and the pre-trained model and code have been released on GitHub for easy use by researchers and developers. Suitable for audio processing and security fields, it primarily aims to improve the efficiency and accuracy of speech recognition and anti-fraud.

The MCP Security Checklist is compiled and maintained by the SlowMist team, aiming to help developers identify and mitigate security risks during MCP implementation. With the rapid development of AI tools based on the MCP standard, security issues are becoming increasingly important. This checklist provides detailed security guidance, covering the security requirements of MCP servers, clients, and various scenarios to protect user privacy and enhance the overall stability and controllability of the system.

MCP-Scan is a security scanning tool specifically designed for MCP servers. It can detect common security vulnerabilities such as prompt injection and tool poisoning. By checking configuration files and tool descriptions, it helps users ensure system security. Suitable for various developers and system administrators, it is an important tool for maintaining system security.

AI Infra Guard is an AI infrastructure security assessment tool developed by Tencent. It focuses on discovering and detecting potential security risks in AI systems, supporting 28 AI framework fingerprint recognitions and covering more than 200 security vulnerability databases. The tool is lightweight, easy to use, requires no complex configuration, and features flexible matching syntax and cross-platform support. It provides an efficient assessment method for the security of AI infrastructure, helping enterprises and developers protect their AI systems from security threats.

Mobile-Agent-E is a mobile assistant based on large multimodal models (LMM), aimed at helping users efficiently complete complex multi-step tasks. It achieves self-evolution via a hierarchical multi-agent framework, allowing it to learn and improve from past tasks. The main advantages of this product lie in its powerful reasoning capabilities and competence in handling complex tasks, particularly those involving long durations and interactions among multiple applications. It is suitable for users who require efficient completion of complex mobile tasks, such as business professionals and researchers. Currently, it is in the research phase, and specific pricing has not been established.

UI-TARS-desktop is a desktop client application developed by ByteDance, built on the UI-TARS visual language model, which enables users to interact with computers using natural language to accomplish various tasks. This product leverages advanced visual language model technology to understand users' natural language commands and execute precise mouse and keyboard operations through screen capture and visual recognition. It supports cross-platform use (Windows and macOS) and provides real-time feedback and status updates, significantly enhancing user efficiency and interaction experience. The product is currently open source on GitHub, allowing users to download and use it for free.

The Executive AI Assistant (EAIA) is an AI agent aimed at simulating the role of an administrative assistant. It integrates various AI technologies and APIs, such as OpenAI and Anthropic, along with interactions with the Google Gmail API, to automate email handling, schedule meetings, and manage user calendars and emails based on predefined profiles. The main advantages of EAIA are its automation capabilities that can save users time and enhance work efficiency. This project is open-source on GitHub, allowing users to customize configurations and extend functionalities, making it suitable for professionals looking to boost individual or team productivity.

ProactiveAgent is a proactive agent project powered by a Large Language Model (LLM), designed to build an intelligent agent that predicts user needs and provides proactive help. This project achieves its goals through data collection and generation pipelines, automatic evaluators, and training agents. Key advantages of ProactiveAgent include environmental awareness, annotation assistance, dynamic data generation, and construction pipelines, with a reward model achieving an F1 score of 0.918 on the test set, indicating strong performance. This product is suitable for programming, writing, and daily life scenarios, and adheres to the Apache License 2.0.

viAct.ai is an automated construction management software/app that uses computer vision and video analytics technology to provide workplace safety monitoring. Its main advantages include reducing accident rates, saving labor costs, error-free progress tracking, and saving high compensation fees.

Nes2Net is a lightweight nested architecture designed for foundation model-driven speech anti-fraud tasks, featuring a low error rate and suitability for audio deepfake detection. This model performs excellently on multiple datasets, and the pre-trained model and code have been released on GitHub for easy use by researchers and developers. Suitable for audio processing and security fields, it primarily aims to improve the efficiency and accuracy of speech recognition and anti-fraud.

mcpscan.ai is a security scanning tool focused on Model Context Protocol (MCP) servers. It detects various security vulnerabilities in MCP servers, ensuring the secure interaction of large language models (LLMs) with external tools. This product aims to help developers identify and fix potential security risks, thereby protecting sensitive data and systems from attacks. The core value of mcpscan.ai lies in its specialized security scans for MCP implementations, providing real-time monitoring and detailed vulnerability analysis to support secure deployments.

Cluely is an undetectable AI assistant that provides real-time support during interviews, sales calls, and meetings. Through seamless screen and audio monitoring, it helps users improve work efficiency and ensures no information is missed during crucial moments. Cluely provides users with greater confidence and expressiveness and is suitable for professionals of all types. The product has currently secured $5.3 million in funding and offers flexible pricing to suit different user needs.

The MCP Security Checklist is compiled and maintained by the SlowMist team, aiming to help developers identify and mitigate security risks during MCP implementation. With the rapid development of AI tools based on the MCP standard, security issues are becoming increasingly important. This checklist provides detailed security guidance, covering the security requirements of MCP servers, clients, and various scenarios to protect user privacy and enhance the overall stability and controllability of the system.

MCP-Scan is a security scanning tool specifically designed for MCP servers. It can detect common security vulnerabilities such as prompt injection and tool poisoning. By checking configuration files and tool descriptions, it helps users ensure system security. Suitable for various developers and system administrators, it is an important tool for maintaining system security.

Hakimo is a revolutionary AI-powered security monitoring platform designed to reduce security costs and risks for businesses by seamlessly integrating with existing security systems. Through real-time monitoring and intelligent analysis, Hakimo provides efficient security solutions, significantly reducing incidents of vandalism and theft. Key advantages include eliminating the need for expensive hardware upgrades, rapid deployment, compatibility with multiple security devices, and suitability for diverse business security needs. In terms of pricing, Hakimo helps clients save up to $125,000 annually, offering a more cost-effective solution compared to traditional security methods.

AI Agent + Privacy is an innovative security system product that uses AI intelligent learning and risk data analysis technology to autonomously analyze data and traffic transmitted over the network. It deeply analyzes application data and security status, thereby comprehensively protecting user data privacy and security. This product adapts to the needs of digital transformation, providing important security guarantees for enterprises and helping users maintain data security in the face of various cybersecurity threats. This product is paid and is suitable for enterprises of all sizes, particularly valuable in industries requiring the protection of sensitive information.

Habfun is a mobile application designed to help users cultivate healthy habits and build social connections through interactive challenges. Based on the philosophy of founder Sam Ryan, it focuses on small, consistent habit changes for long-term personal growth. Combining social interaction and AI-driven challenges, the app aims to help users establish a balanced lifestyle across five key areas: family, friends, career, health, and mental stimulation. Habfun encourages users to achieve goals in a fun way through community support and challenge activities, making it ideal for those seeking to improve their quality of life and connect with like-minded individuals.