MatrAIx is an open-source framework that generates and runs one million synthetic personas as LLM agents to evaluate AI systems across surveys, chatbots, websites, and native apps. It uses a 1,290-dimensional persona schema combining synthetic generation with human grounding to test products at population scale before real-world deployment. The tool includes a visual playground, CLI, and a public dataset released on Hugging Face.

Omnigent adds a universal layer above existing agent harnesses—like Claude Code, Codex, and custom agents—to let you mix models, enforce stateful policies, and collaborate live in shared sessions. It provides one-line agent swaps, contextual security and cost controls, OS sandboxing, cloud execution, and real-time collaboration, all open-sourced under Apache 2.0.