Suna is an open-source AI assistant that helps users easily complete research, data analysis, and everyday challenges through natural conversation. It combines powerful features with an intuitive interface to efficiently solve complex problems and automate workflows. Suna's toolkit includes seamless browser automation, file management, website deployment, and integration with multiple APIs. Its powerful and flexible functionality is suitable for a wide range of user needs.

EgoLife is an AI assistant project focused on long-term, multi-modal, multi-view daily life. The project generated approximately 50 hours of video data by recording the shared living experiences of six volunteers for a week, covering daily activities and social interactions. Its multi-modal data (including video, gaze, and IMU data) and multi-view camera system provide rich contextual information for AI research. Furthermore, the project introduces the EgoRAG framework for addressing long-term context understanding tasks, advancing AI's capabilities in complex environments.

HuatuoGPT-o1-70B is a large language model (LLM) developed by FreedomIntelligence, specifically designed for complex medical reasoning. Before providing a final response, the model generates a detailed thought process that reflects and refines its reasoning. HuatuoGPT-o1-70B can handle intricate medical issues, providing thoughtful answers that are crucial for improving the quality and efficiency of medical decisions. The model is based on the LLaMA-3.1-70B architecture, supports English, and can be deployed on various tools like vllm or Sglang, or used for direct inference.

HuatuoGPT-o1-7B is a large language model (LLM) developed by FreedomIntelligence for the medical domain, specifically designed for advanced medical reasoning. The model generates complex reasoning processes before providing final answers, reflecting and refining its inference. HuatuoGPT-o1-7B supports both Chinese and English, handles complex medical queries, and outputs results in a 'thought-answer' format, which is crucial for improving the transparency and reliability of medical decisions. Based on Qwen2.5-7B, it has been specifically trained to meet the needs of the medical field.

The CHIEF (Clinical Histopathology Imaging Evaluation Foundation) model is a foundational model for cancer diagnosis and prognostic prediction in pathology. It extracts pathology imaging features through two complementary pre-training methods: unsupervised pre-training for tile-level feature identification and weakly supervised pre-training for pattern recognition in whole slides. The CHIEF model has been developed using 60,530 whole slide images (WSIs) covering 19 different anatomical sites, leveraging pre-training on a 44TB high-resolution pathology imaging dataset to extract informative micro-representations useful for cancer cell detection, tumor origin identification, molecular profiling, and prognostic prediction. The model has been validated on 19,491 whole slide images from 32 independent slide sets across 24 international hospitals and cohorts, achieving overall performance improvements of up to 36.1% over state-of-the-art deep learning methods, demonstrating its ability to address domain shift issues observed in varying population samples and slide preparation methods. CHIEF provides a generalizable foundation for efficient digital pathology assessment of cancer patients.

Computer Use - OOTB is an Anthropic Claude computer use interface that operates without Docker. It supports any platform and has been primarily tested on Windows. This project offers a user-friendly interface based on Gradio, allowing users to remotely control their computer from any device via the internet without the need to install an application on mobile devices. Key benefits of the product include a simplified installation process, cross-platform support, and cloud-based API calls, enabling users to easily harness the powerful capabilities of Anthropic Claude.

agent.exe is an Electron-based application that utilizes Anthropic's Claude 3.5 Sonnet computer usage API, allowing users to control their local computers directly through AI. Developed by Kyle Corbitt, this project was created to test Claude's new API and offers a more lightweight solution compared to the official sample project. The application primarily supports MacOS but is theoretically compatible with Windows and Linux. Its primary advantage is providing an easy way for AI to intervene and perform computer tasks, though it also poses certain risks by allowing AI to take full control of the user's computer.

Suna is an open-source AI assistant that helps users easily complete research, data analysis, and everyday challenges through natural conversation. It combines powerful features with an intuitive interface to efficiently solve complex problems and automate workflows. Suna's toolkit includes seamless browser automation, file management, website deployment, and integration with multiple APIs. Its powerful and flexible functionality is suitable for a wide range of user needs.

Alice is a personal AI assistant application designed to improve user productivity through different AI models. It integrates the latest AI technology, supports automated workflows, and allows users to manage tasks and projects more easily. Alice allows users to create custom assistants and easily integrate with various tools such as Zapier and Make, making it suitable for creative professionals and enterprise users.

SmartCartAI is a smart shopping app that utilizes advanced AI technology to provide users with a personalized shopping experience. It intelligently recommends meal plans and shopping lists based on users' shopping habits, dietary preferences, and nutritional goals, aiming to improve shopping efficiency and simplify the shopping process. SmartCartAI is user-centric and helps users better manage their diet, stay within budget, and is suitable for all kinds of people.

DeepSider is an AI smart assistant integrated into the browser sidebar, developed based on the DeepSeek R1 and V3 models. With its minimalist interaction and ultra-fast response speed, it helps users handle complex tasks in work, study, and daily entertainment. The product is free and open-source, aiming to provide users with a highly efficient, stable, and powerful AI experience.

Lifestack is an innovative productivity tool that integrates users' health data (such as wearable device data) and schedules to help users plan daily tasks based on their energy levels. It utilizes the human circadian rhythm to calculate energy levels, providing a visual energy curve and recommending optimal task execution times based on the user's health status and task priorities. This health data-driven intelligent time management method not only helps improve work efficiency but also prevents overwork and burnout, making it suitable for modern people seeking a balance between high efficiency and healthy living. Lifestack offers a free trial, and users can choose a suitable subscription plan based on their needs.

Flight Price Predictor is an AI-powered flight price prediction tool designed to help users make more informed decisions when booking flights. The tool analyzes historical data, seasonal trends, airline pricing patterns, and other key factors to predict the rise and fall of flight prices, allowing users to book flights at the lowest price and avoid unnecessary expenses. Its main advantages lie in its use of advanced AI algorithms and real-time data to provide accurate predictions and help users save on travel costs. The tool is primarily aimed at frequent travelers, whether for business or leisure, helping them optimize their budgets.

EgoLife is an AI assistant project focused on long-term, multi-modal, multi-view daily life. The project generated approximately 50 hours of video data by recording the shared living experiences of six volunteers for a week, covering daily activities and social interactions. Its multi-modal data (including video, gaze, and IMU data) and multi-view camera system provide rich contextual information for AI research. Furthermore, the project introduces the EgoRAG framework for addressing long-term context understanding tasks, advancing AI's capabilities in complex environments.

Microsoft Dragon Copilot is an AI-powered clinical workflow solution from Microsoft for the healthcare sector. It aims to help healthcare professionals reduce administrative burdens and focus on patient care through automated and intelligent document processing technology. This product utilizes advanced natural language processing and machine learning technologies to automatically capture multilingual doctor-patient conversations and translate them into detailed clinical documents. Its key advantages include highly efficient document generation, customizable features, and seamless integration with existing Electronic Health Record (EHR) systems. Dragon Copilot is aimed at medical institutions and clinicians, designed to improve the quality and efficiency of healthcare services through technology while reducing operating costs. Product pricing and specific pricing strategies are not explicitly mentioned on the page, but are usually customized based on the size and usage scope of the healthcare institution.

MGX is an innovative AI platform designed to provide users with 24/7 AI team support. Through intelligent technology, it helps users realize various ideas and tasks, whether it's developing games, analyzing updates, or designing personal business cards. MGX emphasizes efficiency, intelligence, and convenience, and is suitable for a wide range of users, including developers, designers, and product managers. The platform employs advanced AI technology to quickly respond to user needs and provide personalized solutions. MGX's positioning is to become a valuable assistant in the digital world, helping users save time and increase productivity.