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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