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Analytics engineering for Claude Code and any agent: data warehouse exploration, dbt transformation and semantic modeling, and schema-drift maintenance on dbt.

Project description

exmergo-dex-core

The portable, Apache-2.0 analytics-engineering engine behind dex. All non-trivial logic lives here; the Claude Code skills and the cross-agent AGENTS.md are thin wrappers that drive it through one stable command contract.

dex is the agent-native analytics engineering toolkit: explore an unfamiliar warehouse, transform raw data into clean dbt models and a semantic layer on top, and maintain all of it as the data underneath changes. Read-only against your data; every change is a reviewable diff.

Install

pip install "exmergo-dex-core[duckdb]"

Connector client libraries live behind extras, so the zero-credential DuckDB on-ramp installs only duckdb and sqlglot:

exmergo-dex-core[duckdb]       # the on-ramp and the eval/benchmark engine
exmergo-dex-core[snowflake]
exmergo-dex-core[bigquery]
exmergo-dex-core[databricks]
exmergo-dex-core[postgres]
exmergo-dex-core[all]          # every connector at once

The command contract

Every subcommand prints exactly one sanitized JSON envelope to stdout and nothing else; nothing reaches agent context except through that envelope. Credentials never cross it, and data values cross only from profiled, PII-cleared columns, bounded and capped by the query firewall. State persists in .dex/, so subcommands are stateless and the agent orchestrates multi-step flows.

dex connect test --path data.duckdb

See references/command-contract.md for the full surface and the envelope spec.

Status

Early and under active development; expect pre-release versions. Today the engine runs Explore and Transform on DuckDB end to end.

Explore: ranks what matters in an unfamiliar warehouse, profiles columns selectively, flags PII, surfaces grain and data-quality warnings, infers joins and verifies them with overlap probes (--verify), and executes agent-authored ad-hoc SELECTs behind a PII-aware query firewall (explore query), all read-only.

Transform: bootstraps a dbt project where none exists (transform init, with an explicit connector, never a default), turns agent-authored edits and deterministic staging scaffolds into reviewable, conflict-checked diffs (transform plan / apply, with human edits authoritative on conflict), runs gated dev-target-only builds with cost surfaced before any spend (transform build), and authors the semantic layer as MetricFlow-validated dbt semantic models (semantic define|update|plan, applied with transform apply).

Maintain (drift detection and reconcile), the cloud connectors (BigQuery, Snowflake, Databricks, PostgreSQL), and the Viz preview report not_implemented until they land. The foundations are in place: the command contract, the canonical model and .dex/ layout, and the eval and safety spine.

License

Apache-2.0.

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