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Governance-aware Java and Rust generation grounded in DataHub MCP context.
Detects ML model drift, traces root cause through DataHub's lineage graph, and writes incident findings back to DataHub — closing the loop from anomaly to actionable audit trail.
Someone changes dollars to cents. The database says everything is fine, but the model breaks. Ahead catches it before release, finds the owner, and shows them the fix.
An autonomous AI data engineer powered by DataHub that investigates pipeline failures, explains root causes, generates production-ready fixes, and captures organizational knowledge.
Describe a data transformation in plain English. Get a DataHub-grounded dbt model, validated, registered in the catalog, and shipped as a GitHub PR.
Evidence-bound trust grades for DataHub lineage
Four Claude agents that catch the silent data failures your catalog can't see — and write the whole investigation back into DataHub so the next person inherits it, not just the symptom.
DataHub context turns campus recycling events into explainable collection and reward decisions.
Tells you whether a metric dropped because customers left or because the instrument broke. Every claim cites a DataHub URN, and an external scorer reads only the run ledger.
"DataHub Agents turn passive metadata into active, self-healing data governance for clinical and longevity AI."
Lineage-aware migration gates, owner actions, and PR-ready plans from DataHub MCP context.
A change is landing on a table. GreenLight turns DataHub catalog context into a release readiness map - blockers, signers, notifications, and ownership gaps - with every node traced to its aspect.
An evidence-first agent that audits your DataHub catalog against itself: it finds where two sources disagree, traces what breaks downstream, and hands a steward one exact governed fix.
New DataHub column lands, AutoSteward decides if it's PII in seconds — auto-tags the obvious, pings a human on Slack for the rest, writes the answer straight back into the catalog.
SkillGraph catalogs the agent layer in DataHub, where skills and MCP tools become datasets, prompt dependencies become lineage, and broken references become provable, searchable findings.
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An agent that decides from DataHub context and can prove which version of that context justified each decision — and refuses to certify when it can't.
LineageGate turns DataHub lineage evidence into commit-bound GitHub checks, accountable approvals, remediation, and durable audit trails.
TrustGate reconciles conflicting DataHub metadata, flags purpose-specific risks, recommends remediation, and keeps humans in control before writeback and verification.
A DataHub-powered agent that traces lineage, blocks risky schema changes, and writes an auditable migration decision back to the context graph.
When your data pipeline breaks at 2am, the SWAT team is already on it.
The ultimate neural command center for DataHub. Aegis Prime autonomously scans and debugs enterprise data pipelines, delivering absolute truth through an ultra-minimalist macOS terminal.
From Data Lineage to Governed Operational Recovery
An AI agent that reads your DataHub lineage and metadata to generate Airflow 3 DAGs - with quality checks, freshness gates, and PII audits wired in from your tags and glossary.
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