AI & ML interests

LLM, Agent Simulation, Persona

Recent Activity

HJH2CMD  updated a dataset about 19 hours ago
MatrAIx2026/Demo_Application_Data
YuexingHao  updated a dataset about 20 hours ago
MatrAIx2026/Demo_Application_Data
Chanwoo97  updated a dataset 1 day ago
MatrAIx2026/Demo_Application_Data
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Organization Card

MatrAIx

Simulate before reality.

MatrAIx is an open-source platform for large-scale, persona-driven agent simulation. We test products, conversations, and workflows across surveys, chat, live web, and desktop applications before they reach real users.

Our north star is 8.3B persona-scale simulation—one synthetic profile per person on Earth—while treating simulation as a tool for exploration, not a replacement for real people.

What we build

  • Persona data: Structured human, extracted, and synthetic persona attributes spanning demographic, behavioral, professional, cognitive, and contextual dimensions.
  • Agent evaluation: Repeatable simulations across survey, conversational, web, and native-app environments.
  • Evaluation artifacts: Scores, interaction traces, behavioral evidence, and training-ready data for SFT and RL workflows.

Public resources

Resource Description
MatrAIx Persona 1M Public Release Public persona records organized by real-human, extracted, and synthetic sources.
Demo Application Data Persona profiles for evaluation tasks across surveys, chat, web, and OS applications.

Private resource

Resource Access
Persona8B Large-scale persona data from the broader MatrAIx persona space. Available by request; contact info@matraix.ai.

Explore MatrAIx

Join the project

Discord Google Form

  1. Join Discord and set your nickname to Full Name - Affiliation.
  2. Complete the MatrAIx onboarding form with your background and team interests.
  3. Choose a team—Persona, Application, or Environment—from the GitHub onboarding guide.
  4. Read CONTRIBUTING.md before opening a pull request.

Help us build evaluation infrastructure for AI agents that must work for the full diversity of real users—not only the average case.

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