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FlowJury is a agent that investigates complex data pipelines and recommends safe actions to reduce waste and protect critical workflows.
Smart Memory & Trust Ledger for DataHub: AI agents learn from past decisions, skip redundant scans, and build proven reliability.
Claude Code has no idea which client you're working for. DataHub does. Zence puts the catalog in the loop and blocks the cross-client query before the tool call runs — not after.
An autonomous observability agent that uses DataHub lineage to isolate pipeline failures, halt bad data, and auto-generate code fixes.
Operational data agent: governed context in, approved action and durable memory out.
https://github.com/Parmeshwametkar/Savoria---Next-Gen-AI-Food-Delivery-Platform
A DataHub-native change agent that turns live metadata into approval-bound, rollback-proven PostgreSQL column renames.
Production workspace for data engineering
Writes dbt models from your real DataHub catalog, then proves the SQL is correct before you see it.
DataHub Guard uses DataHub GraphQL lineage to detect PII leaks, trace downstream pipeline blast radius, auto-generate dbt/PySpark PRs, and update catalog metadata.
The first AI agent that quantifies the financial blast radius of schema changes using DataHub lineage — before anyone hits merge.
Every downstream consequence, before merge.
Every generated dbt model ships with the decision that created it, grounded in real DataHub schemas and lineage.
A pull request reviewer that reads your data lineage - blocks breaking schema changes before they reach a dashboard.
Pre-merge impact analysis for schema changes. Walks DataHub column-level lineage to prove which downstream tables, dashboards and ML assets a column drop breaks, then writes the verdict back.
Detects when a metric's DEFINITION changes and finds every dashboard that silently inherited the new meaning.
An evidence-first data incident agent that traces metadata changes through lineage and turns them into an auditable report with transparent confidence, blast radius, and safe human next steps.
Before you merge a column rename, Premortem scores which DataHub consumers break and how, and writes the forecast back to the catalog — before a dashboard tells the business
What if you summoned a city into existence by typing? AI agents design it live, then flood-test it—so your design isn’t judged by slides, but by survival metrics.
A DataHub-powered lens on your parcel: see if your crop goes thirsty before you sow it, with every number traced back to its source.
Autonomous Data Incident Commander powered by DataHub context graph.
An AI agent that reads DataHub metadata to generate production-ready Airflow DAGs, dbt models with automatic PII masking, and quality assertions directly onto Git feature branches.
Explore brain response. Trace every insight.
An evidence-first AI incident response system for DataHub that uses MCP-verified investigation, requires human approval before write-back, and independently verifies every recorded incident.
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