Linubra

Series

Building Linubra

A behind-the-scenes series on building an AI reasoning memory engine from scratch — architecture decisions, technical challenges, and lessons learned.

4 parts
  1. 1
    Raw inputs — audio waveforms, text snippets, images — flowing through a reasoning layer into a structured knowledge graph

    Why We Built Linubra

    Knowledge workers lose 9.3 hours per week searching for information (McKinsey). Note-taking tools demand constant maintenance. A Reasoning Memory Engine builds the knowledge graph for you.

    Patrick Lehmann Patrick Lehmann · · 7 min read
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    A sealed concrete cube surrounded by untouching glass spheres — representing data sovereignty and protected personal data

    Your Life Is Not Training Data

    82% of consumers see AI data loss-of-control as a serious personal threat (Relyance AI, 2025). Here's what data sovereignty actually means when your AI tool handles your most sensitive memories.

    Patrick Lehmann Patrick Lehmann · · 6 min read