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MindrianOS
About MindrianOS

Your project becomes a thinking partner.

A chatbot answers and forgets. MindrianOS keeps a room: every insight you share, every meeting you file, every method you run is written down and connected, so the project itself accumulates judgment. The next session starts where the last one ended.

The room detects gaps, flags contradictions, tracks whether your assumptions still hold, and suggests what to run next. It does not wait for you to ask. It sees what you miss.

How we got here

From a teaching insight to a plugin.

The Problem

Founders think alone. Innovation methods exist in books and workshops, but nobody chains them into usable sequences. Meetings happen, decisions scatter, assumptions go stale.

The Insight

20 years of teaching innovation, watching students apply methods, surfaced the breakthrough: the sequence matters more than the method. Knowing WHEN to use WHICH tool, calibrated by real project outcomes.

The Graph

That teaching became a graph: a map of 181 thinking methods, how they connect, chain, and apply. Not a catalog. A map of how structured thinking chains together.

The Plugin

MindrianOS packages all of this into a Claude plugin you install with one command. Larry thinks with you. The room keeps every decision. The Brain is part of what installs.

Today

v2.0.0 'Build the Loop' shipped, in beta. Every method answer now names its source in the graph, and when the graph has no answer, Larry says so plainly and queues the gap instead of improvising. The loop closes: you speak, the graph answers, Larry fits it to you, you decide, the room learns.

Principles

What we believe.

Your project thinks

The Data Room is not a folder. It tracks assumptions, detects when a change in one corner breaks another, and suggests what to investigate next.

Honesty is a feature

Answers from the teaching graph say so, with a source. When the graph has nothing, Larry refuses and queues the gap. No guessing dressed up as teaching.

The graph is the moat

Prompts can be copied. The graph that knows WHEN to use WHICH method, in WHAT sequence, calibrated by REAL teaching data. That cannot.