Your company forgetseverything.
HK3K reads the work, extracts what actually matters, and builds a private knowledge graph of your organization — so the automation you run on Friday already knows what happened Monday.
David Hood — on memory, automation & private corporate AI
It was never the model.
Everyone has the same models. What separates one company from another is everything its people already know — and almost all of that evaporates the moment they close the laptop. Context gets re-explained. Decisions get re-litigated. The same question gets answered for the fourth time.
Context resets daily
Every thread starts from zero. Your team spends its first hour re-establishing what the last one already knew.
Knowledge leaves
When someone moves teams or leaves the company, what they understood goes with them. Nothing captured it.
Automations run blind
Workflows fire without any awareness of what happened last week, so they repeat work and miss the obvious.
Memory that compounds
scroll — the graph is building around you
Four things, running quietly.
Raw work goes in one side. Durable, structured memory comes out the other — watch the extraction stage do it below, on synthetic sample text.
Bring the history with you
Import existing conversation history and documents. Nothing has to start from an empty room.
Pull out what's durable
Facts, preferences, entities and relationships get lifted out of the noise and written to structured memory — automatically, as work happens.
Connect it
Everything lands in a knowledge graph, merged and compressed, so related things stay related instead of sitting in a thousand disconnected threads.
Every agent inherits it
Automations and agents read from the same graph, so Friday's workflow already knows about Monday.
"That's the difference between having a chatbot,David Hood · Practical AI Engineering
and having an institution that remembers."
On your side of the wall.
Private corporate culture doesn't survive being uploaded to somebody else's platform. HK3K is built to run where your data already lives, so the memory layer belongs to you — not to a vendor.
Your infrastructure
The knowledge graph, the extraction pipeline and the memory store stay inside your boundary.
Bring your own models
The memory layer is the moat. Swap models underneath it whenever something better ships.
Better every week
Unlike a chat window, the system's usefulness increases the longer your organization uses it.
See it on your own data.
Bring a real workflow and a real corpus. The demo is a lot more convincing when the graph is built out of your own material.