Agent Memory is More than RAG

Ran Aroussi brings over 30 years of engineering experience to his work building technology that transforms complexity into utility - first in AdTech, then in finance, and now in the AI space. A self-taught engineer, he cut his teeth building systems at scale in AdTech, developing ad-serving engines that delivered over 3 billion ads daily. He later established himself in fintech by creating yfinance, one of the world's most widely adopted open-source financial data libraries, and by founding Tradologics, a cloud platform that brought institutional-grade algorithmic trading infrastructure to independent developers.

Today, his focus is MUXI, an open-source infrastructure for AI agents that can think, remember, and collaborate. Ran views the current AI landscape as entering its "enterprise era" – a shift from experimentation to systems that demand scale, observability, and accountability. MUXI is designed for this transition, offering the declarative, production-grade foundation developers and enterprises need to move beyond proof-of-concept tools to systems that operate reliably in production.

His company, Automaze, embodies the same philosophy: democratizing advanced technology by delivering technical leadership as a scalable service. Across his work, Ran champions open infrastructure, pragmatic engineering, and the principle that clarity drives innovation. His book, Production-Ready Agentic AI, articulates this vision and the architectural thinking behind it.