Reasons stores what your AI learns with sources and justifications. When something turns out to be wrong, everything that depended on it corrects itself. No more starting from scratch.
Every time you start a new conversation with an AI assistant, it knows nothing about your project, your decisions, or what it figured out yesterday. You re-explain. It re-derives. You correct the same mistakes.
And when something it told you last week turns out to be wrong, every conclusion it built on top of that bad information just stays there, uncorrected, in whatever notes you saved.
Facts, decisions, and conclusions persist across sessions, models, and even different AI assistants. What Claude learned on Monday, Gemini can build on Tuesday.
Every belief in the database links back to the evidence that supports it. You can always ask "why do you believe this?" and get a real answer — not a hallucinated one.
When a premise turns out to be wrong, everything that depended on it updates automatically. Retract one fact and watch the cascade fix your whole knowledge base. No manual cleanup. No stale conclusions hiding in the dark.
A reasons database is a single file. Put it on a thumbdrive, use it on a plane, share it with a colleague. No cloud subscription required.
As your AI works, it records what it learns with sources. "The API rate limit is 100/min" sourced from the docs. "Our deploy broke because of the config change" sourced from the incident log.
Facts link to other facts through justifications. "We need to add caching" is justified by the rate limit and the traffic growth. If either premise changes, the conclusion knows.
When something turns out to be wrong, you retract it. Everything downstream updates automatically. The caching conclusion flips to "not currently justified" until you provide new evidence. Your knowledge base stays honest.
We are building a Library of Alexandria for the age of AI — a decentralized, self-correcting body of the world's knowledge where every claim is justified, every correction propagates, and the whole thing fits on a thumbdrive. Today it helps your AI remember what it learned yesterday. Tomorrow it helps robots on Mars solve engineering problems without phoning home for the answer. The knowledge is free, open, and yours to keep.