Research workflows, private AI, and the problem of remembering what mattered.
Essays for researchers, analysts, founders, and serious knowledge workers who think in papers, screenshots, annotations, and returning questions.
What Is a Private AI Research Memory?
A category-defining essay on what a private AI research memory actually is, why researchers need one, and how it differs from storage, notes apps, and generic chatbots.
The Manex Blog explores how research breaks, why current tools fail to preserve interpretation, and how private AI can support return, retrieval, and compounding understanding.
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Running Large Language Models on Mac Using MLX Apple
Why mlx apple tooling and the apple silicon llm stack matter for private AI, local inference, and serious Mac-native research workflows.
What Is a Private AI Research Memory?
A better mental model for researchers who want to preserve source material, interpretation, retrieval, and later inquiry in one private system.
Your PDFs Are Not a Research System
Why saving papers is not the same as being able to return to what mattered, and why serious research needs more than storage.