Scope retrieval by role — before text reaches the model.
Agents keep full access to what their mandate allows. Nothing extra for engineers to configure per query.
One brain, many governed views — memory and identity on the same fabric.
Two agents, one question — depth matches clearance.
Retrieval is scoped by identity tiers before any text reaches the model, not filtered after the fact.
One memory layer, many governed views. Identity and retrieval as one product — not a bolt-on filter on top of a vector database.
Try it — pick a question:
Every document classified once; tiers map to agent permissions.
Retrieval enforces scope structurally — not via post-hoc prompt rules.
Docs and FAQs.
All agents.
Company processes.
Authenticated agents.
Sales and marketing metrics.
GTM-facing agents.
Architecture and code docs.
Engineering roles.
Runbooks and live metrics.
Ops and on-call agents.
Personal customer data.
Restricted roles only.
Account and contract details.
Customer-facing roles.
Revenue and cost data.
Finance and leadership.
Compliance-critical content.
Legal and compliance roles.
Institutional knowledge as a living, tier-colored map.
Clusters by meaning — see where sensitive data sits and how agents navigate it.
Drag to rotate, scroll to zoom.
Loading cortex visualization.
Allows get the same audit trail as denies.
When an Analyst queries churn data, scope is enforced before the model sees text — and the decision is explainable.
Ingestion scans for poisoning before content enters the brain.
Instruction overrides, dormant triggers, credential storage — blocked at ingest.
Knowledge accumulates across agents over time.
Competitors can copy rules; they cannot copy your institutional graph.
Memory connects to who the agent is and what actions are allowed.
Review governed decisions on the policy ledger.