Real Memory AI

Documentation you can verify

Know what runs, what is governed, and what is still planned.

The live documentation covers model creation, source ingestion, grounded chat, tenant roles, feature entitlements, approval semantics, billing, privacy, local validation, and production delivery.

Open searchable documentationAsk Real Memory AI

Clients

Create models, upload approved sources, understand evidence, manage access, and use RM AI without hidden execution claims.

Developers

Review scoped authentication, endpoint behavior, rate limits, safe outbound fetching, and tenant-aware data contracts.

Operators

Use local-first checks, immutable release planning, readiness gates, backup manifests, rollback procedures, and publish approvals.

Historical completion notes are not the runtime contract. Current capability catalogs, tests, readiness checks, and blocker records take precedence.