A data-incident triage agent for DataHub that traverses downstream lineage, ranks affected assets by criticality, resolves owners, and records incidents back into the catalog.
A multi-agent MCP server that turns LLMs into an autonomous incident-response copilot, enabling rapid investigation, correlation, and remediation of production incidents.
Enables autonomous SRE incident investigation by allowing users to describe incidents in natural language. The agent follows a governed state machine to gather read-only evidence and produce grounded conclusions.
MCP server that enables agents to manage DataHub incidents, recall past incident memory, guard columns against regression, and write postmortems into the data graph.
A local, agentic AI pipeline that analyzes tabular data, detects anomalies, and generates interpretive summaries using local LLMs orchestrated via the Model Context Protocol.