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aegis-dq/aegis-dq

Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.

Quality score 50/100
View on GitHub →
Stars
★ 4
Last commit
2mo ago
Language
Python
Install
Python (uvx / pip)

Installation

Example client config (verify package name in the repo README)

{
  "mcpServers": {
    "aegis-dq": {
      "command": "uvx",
      "args": ["aegis-dq"]
    }
  }
}

Topics

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