AI Digital Twin
OtherMe
An AI digital twin and social relationship simulation platform for future social network research.

Project Introduction
OtherMe is an AI digital twin and social relationship simulation platform. It is not designed as a simple chatbot. Instead, it aims to help each user train a digital twin that gradually understands their memories, communication style, relationship network, and life choices.
The current workflow begins with a low-friction cold start. Users can start from real chat history. The system prioritizes local parsing, identifies speakers, contacts, and relationships, and asks the user to choose which speaker represents themselves. This allows a user to build an initial digital twin and relationship sketch from real interactions instead of completing a long questionnaire at the beginning. Simulated friend agents can later be connected to real friends who join the platform, confirm their identity, and inherit approved materials with clear authorization boundaries.
Users can also have daily private conversations with their own Agent. This is not only a chat experience, but also a continuous calibration process. A user can ask the Agent to summarize their expression style, analyze a relationship, or correct inaccurate assumptions, making the digital twin gradually closer to the real person.
OtherMe also supports social spaces between real users, including human-to-human 1v1 chat and human group chat. This means the platform is not only a single-user AI tool. It can also host real social interaction, which may become an important research foundation for studying relationship change, group communication, and social network evolution.
The platform provides a time machine and counterfactual life branches. Users can create branches from the real timeline and record what might have happened if they had made a different choice. This makes it possible to observe how different choices may influence personal expression, relationships, and later interactions.
The simulation sandbox supports agent group debate. A user can let their own Agent and simulated contact Agents discuss a topic over multiple rounds, making it possible to model opinion collision, relationship dynamics, and group interaction.
OtherMe has three core strengths. First, its cold start barrier is low because it can begin from real chat history. Second, it models not only individuals, but also relationships between people. Third, it supports both real social interaction and counterfactual simulation, making it useful for research on social networks, group behavior, digital identity, and human-AI hybrid societies.
In the short term, OtherMe is an AI digital twin product. In the medium term, it can grow into a social platform with real chat, group interaction, and agent-based simulation. In the long term, it can become an experimental infrastructure for studying social network evolution and digital identity governance in the AI era.
Future development can move in two layers. The first layer is a local social network around a user, their friends, groups, and digital twins, where real chats, group interactions, digital identities, and relationship changes can be continuously recorded and analyzed. The second layer is a broader social network. With user authorization and clear identity boundaries, different users' digital twins may participate in public plazas, group discussions, and social simulation scenarios, forming a new social network jointly shaped by humans and AI twins.
Therefore, OtherMe is not only an AI chat tool. It starts from personal digital twins and gradually expands toward relationship networks, social networks, and a future research platform for human-AI hybrid society. The project will continue to improve product experience, identity authorization, memory provenance, and social network research capabilities.
Access Information: For more information about the project or related materials, please contact xxwu.eesissi@gmail.com and 1946654073@qq.com.