AnimeGamer is built based on a multi-modal large language model (MLLM) that can generate dynamic animation shots and character status updates, providing users with an endless anime life experience. It allows users to interact with anime characters through open-ended language instructions, creating unique adventure stories. The main advantages of this product include: dynamically generating animations for character interactions, enabling interactions between different anime, and rich game state prediction.

Second Me is an open-source prototype designed to let users create their own AI selves, preserving personal characteristics and extending themselves into the digital world. It uses hierarchical memory modeling and user alignment algorithms to ensure user data is stored locally and remains completely private. This form of AI not only helps users manage information but also interacts with other AIs in a global network, fostering creativity and collaboration. The key advantage of Second Me is its privacy protection, empowering users with true control over their digital identity. It's suitable for tech enthusiasts, AI experts, and professionals across various fields. This product is currently under development, and the latest version can be found on GitHub.

OpenManus is an open-source intelligent agent project aimed at achieving functionalities similar to Manus through open-source means, but without requiring an invitation code. Developed collaboratively by multiple developers, it leverages a powerful language model and a flexible plugin system to quickly implement various complex tasks. The main advantages of OpenManus are that it is open-source, free, and easily extensible, making it suitable for developers and researchers for secondary development and research. The project background stems from a need to improve existing intelligent agent tools, with the goal of creating a completely open and easy-to-use intelligent agent platform.

AgentSociety, developed by the FIB Lab at Tsinghua University, is an advanced framework designed to simulate human behavior and social interactions using LLM-driven agents. It leverages the planning, memory, and reasoning capabilities of large language models (LLMs) to generate realistic behavior patterns, and supports environment design based on datasets, text, and rules. This framework holds significant importance in social science research, urban planning, and education, enabling researchers to better understand human behavior and social dynamics.

Magma, developed by Microsoft Research, is a multimodal foundational model designed to enable complex task planning and execution through the combination of vision, language, and action. Pre-trained on large-scale visual-language data, it possesses capabilities in language understanding, spatial intelligence, and action planning, allowing it to excel in tasks such as UI navigation and robot operation. This model provides a powerful foundation framework for multimodal AI agent tasks, with broad application prospects.

Index-1.9B-Character is a large language model independently developed by the Index team, focusing on the field of role-playing. It has a parameter scale of 1.9 billion. The model supports users to quickly customize roles through uploading roleplay dialogue data, and has high role consistency, dialogue ability, and role-playing attractiveness. In the authoritative benchmark CharacterEval evaluation, it ranked ninth overall, outperforming models of the same scale.

Characto is an AI-powered character generator that creates beautiful and consistent characters in every scene. Whether you are building a children's picture book, a game, or an animated series, Characto ensures that your characters remain recognizable and magical.

AnimeGamer is built based on a multi-modal large language model (MLLM) that can generate dynamic animation shots and character status updates, providing users with an endless anime life experience. It allows users to interact with anime characters through open-ended language instructions, creating unique adventure stories. The main advantages of this product include: dynamically generating animations for character interactions, enabling interactions between different anime, and rich game state prediction.

Second Me is an open-source prototype designed to let users create their own AI selves, preserving personal characteristics and extending themselves into the digital world. It uses hierarchical memory modeling and user alignment algorithms to ensure user data is stored locally and remains completely private. This form of AI not only helps users manage information but also interacts with other AIs in a global network, fostering creativity and collaboration. The key advantage of Second Me is its privacy protection, empowering users with true control over their digital identity. It's suitable for tech enthusiasts, AI experts, and professionals across various fields. This product is currently under development, and the latest version can be found on GitHub.

OpenManus is an open-source intelligent agent project aimed at achieving functionalities similar to Manus through open-source means, but without requiring an invitation code. Developed collaboratively by multiple developers, it leverages a powerful language model and a flexible plugin system to quickly implement various complex tasks. The main advantages of OpenManus are that it is open-source, free, and easily extensible, making it suitable for developers and researchers for secondary development and research. The project background stems from a need to improve existing intelligent agent tools, with the goal of creating a completely open and easy-to-use intelligent agent platform.

Clone is a humanoid robot developed by Clone Robotics, representing the forefront of robotics technology. It employs revolutionary Myofiber artificial muscle technology, capable of simulating the movement of natural animal skeletons. Myofiber technology achieves unprecedented levels in weight, power density, speed, strength-to-weight ratio, and energy efficiency, enabling the robot to exhibit natural walking ability, considerable strength, and flexibility. Clone is not only technologically significant but also offers new possibilities for future robot applications in home, industrial, and service sectors. It is positioned as a high-end technology product targeting individuals, research institutions, and businesses interested in cutting-edge technology.

Helix is an innovative vision-language-action model designed for general-purpose control of humanoid robots. It addresses several long-standing challenges in robotic manipulation in complex environments by combining visual perception, language understanding, and action control. Key advantages of Helix include strong generalization capabilities, efficient data utilization, and a single neural network architecture that eliminates the need for task-specific fine-tuning. The model aims to provide robots in home environments with on-the-fly behavior generation capabilities, enabling them to handle unseen objects. The emergence of Helix marks a significant step forward in robotics' ability to adapt to everyday life scenarios.

AgentSociety, developed by the FIB Lab at Tsinghua University, is an advanced framework designed to simulate human behavior and social interactions using LLM-driven agents. It leverages the planning, memory, and reasoning capabilities of large language models (LLMs) to generate realistic behavior patterns, and supports environment design based on datasets, text, and rules. This framework holds significant importance in social science research, urban planning, and education, enabling researchers to better understand human behavior and social dynamics.

Tbox is a large language model-based product designed for Alipay's lifestyle ecosystem, aimed at enabling businesses to quickly build professional-grade intelligent agents and drive business growth. Integrating advanced technologies such as Ant Bailing LLM, Ant Tianjian, and Lingjing Digital Human, Tbox enables enhanced experiences and intelligent decision-making. Applicable to various industries such as public services, government affairs, travel, tourism, and healthcare, Tbox enhances user experience and operational efficiency through intelligent services. Pricing and specific positioning vary according to enterprise needs, providing customized solutions for businesses.

Magma, developed by Microsoft Research, is a multimodal foundational model designed to enable complex task planning and execution through the combination of vision, language, and action. Pre-trained on large-scale visual-language data, it possesses capabilities in language understanding, spatial intelligence, and action planning, allowing it to excel in tasks such as UI navigation and robot operation. This model provides a powerful foundation framework for multimodal AI agent tasks, with broad application prospects.