Substrate

Agentic memory that understands people.

Give GTM agents and founders’ AI Chiefs of Staff durable, evidence-backed context about the people, promises, and changes behind the work.

“Understands” means maintaining authorized, evidence-qualified context—not inferring hidden mental states.

Diagram descriptionAuthorized signals settle into dated beds, and structure grows toward them rather than being placed. What the structure ends up looking like is a record of what actually passed through it.

The memory flow

Signals become memory. Memory becomes context.

01

Keep the evidence trail.

Signals keep their evidence, history, and qualification.

Diagram descriptionThe same structure, shown in a different medium. Junction positions do not move, links between separately grown subjects stay inspectable, and a contradiction that cannot be resolved is marked rather than smoothed away.
02

Prepare only what fits the task.

An illustrative model: published memory narrowed to the task at hand.

Diagram descriptionPaths that carried no traffic retract; the ones that did are retained and reinforced. What remains compiles into a cited preparation card that ends at a hard boundary before external action.

Keep your agents

Add a memory layer built for people.

Write durable context. An illustrative retrieval model narrows it by subject, agent, scope, and task.

Developer model
Illustrative contract · not released
POST /illustrative/v1/memory/search
{
  "subject": "account-stakeholder",
  "agent": "customer-success",
  "scope": "verified-deployment",
  "task": "prepare executive review"
}

Trust is behavior

Useful without pretending to know everything.

Evidence attached

Published memory keeps its supporting sources close.

Uncertainty visible

Current, historical, inferred, and conflicting context stay distinct.

Authority external

Memory can prepare context. It cannot send, decide, or commit.

Memory-quality model

Closed beta

Give the next agent the context that matters.