The marketed launch — SchemaBrain grows from a 4-surface dashboard into a graph-led, 9-surface trust + intelligence layer between AI agents and your database.
Highlights
The dashboard grows from 4 surfaces into a graph-led, 9-surface experience: a signature Knowledge Graph, an Overview home, an Entities index, a Data Dictionary, an editable Policy editor, and a Drift view join the PII / Refusals / Audit trio. Audit logs are now browser-verifiable via a derived Merkle root, the marketing landing moves to a standalone site, and the product is repositioned from "SQL firewall" to the trust + intelligence layer. A zero-setup schemabrain demo command tells the whole story offline in seconds, the PII firewall now refuses grouping by a PII column as row-level disclosure, and import dbt imports relationships tests as canonical joins.
Upgrade note
This release migrates the store schema (SCHEMA_VERSION 14 → 15) to persist the graph projection; it applies automatically and crash-atomically on first open (chaining v13 → v14 → v15) — no manual step. The project is now Apache-2.0 licensed. Install the dashboard with pip install 'schemabrain[ui]'; schemabrain dashboard still binds to 127.0.0.1 only.
Install
pip install schemabrain # core
pip install 'schemabrain[ui]' # with the local dashboardThis release was published through the gated publish pipeline: the wheel's contents are verified pre-upload, and a post-publish job installs schemabrain[ui]==0.6.0 from PyPI into a clean environment, asserts the version, and boots the engine + dashboard before the release is trusted.
Full changelog: CHANGELOG.md → 0.6.0