Concepts
Cortexes and access
Many cortexes, who can read one, and how sharing actually works.
You can have as many cortexes as you have offices. Each one is a separate graph with a separate set of people who can read it. This page is about where that line sits, because a memory product is only as useful as its boundaries are believable.
One office, one graph, one boundary
Each office runs its own namespace, its own database and its own pods. There is no cross-tenant query path. A cortex is an isolation boundary, not a filtered view of a shared store.
Every memory call takes the office id explicitly, which is the same boundary showing up in the API:
const cortex = client.cortex(officeId);
await cortex.answer(officeId, { query: 'what did pricing move to?' });
Adding people
People reach a cortex through the office. They are added by membership and by invites, and access is granted at the office level: a member of the office can read that office's memory.
There is no per-source or per-node sharing inside a cortex. If two groups of people should not see the same material, that is two cortexes, not one cortex with two audiences.
Sharing a cortex publicly
A cortex can additionally be made publicly readable through a share link. Two things to know about it:
It is off by default
Nothing is public until someone turns it on for that office.
It is read-only
A share link is a view. It does not grant writes, and it does not make the holder a member of the office.
Agents
Agents live in an office and read its cortex. Their credentials are scoped per integration, so an agent that needs Drive does not thereby get the mailbox. See integrations for enabling one for a specific agent, and authentication for how a credential is issued in the first place.
There is no cross-cortex query
If you need results from two cortexes, your code queries each one and combines
the results itself. There is no server-side join, and a universal_id from one
cortex means nothing in another.
The practical shape this pushes you towards: one cortex per team whose knowledge genuinely is shared, rather than one giant cortex per company that everybody squints at.