The tree that remembers everything you tell it.
Tell it things. Ask it things. One person maintains, everyone benefits. The tree organizes knowledge into a hierarchy. The AI answers from stored notes with citations. The coworker who never forgets and never gets interrupted.
The AI parsed the input. Detected it's about server racks. Found or created the right branch. Wrote a note. One LLM call. If it can't categorize, it files to Unplaced.
The AI answers from the notes in the tree. It cites which note and which branch the answer came from. The source is always visible. The knowledge is always auditable.
The AI reads existing notes before writing. If the new info contradicts or updates something, it modifies rather than duplicates. The old version stays in history.
Not from a template. Not from a schema. You say things. The AI organizes them. The notes are human-editable. The structure is human-navigable. The AI answers from both.
Notes track when they were last updated. The AI flags anything over 90 days. Type be at the kb and it walks you through stale notes one by one. "Vendor Contacts / Cisco hasn't been touched in 6 months. Still current?"
Maintainers tell the kb things. Everyone else asks. A new employee joins the land, gets contributor access, types "what do I do on my first day?" The AI reads Onboarding/First Week. Answers with badge pickup, access requests, parking info. The employee never bothered a coworker.
The first four are personal. KB is the first one that scales to teams.
Tell parses statements into knowledge. Finds or creates the right topic branch. Updates existing notes when corrections arrive. Ask searches the tree, reads matching notes, assembles answers with citations. Uses scout and embed if available. Review the guidedMode for be. Walks stale notes. Presents each one. Asks if it's current.
Understanding compresses branches bottom-up. The AI reads encodings to know what's in each branch without reading every note. Tree-compress consolidates when branches get too dense. Contradiction detects conflicting notes. Purpose checks coherence against the kb's topic. The kb extension doesn't implement any of this. It installs alongside the intelligence bundle and gets it for free.
500 notes across 200 nodes. 5,000 notes across 2,000. The tree handles its own scale. Understanding creates one-sentence encodings per branch. The AI reads the encoding to know what's there, then dives into the specific branch that matches the question. No vector database needed. The tree IS the index.
Plant a land. Create a KB tree. Start telling it things. Everyone else just asks.