canner/wrenai

WrenAI is an open source project that acts as a context layer between AI agents and your business databases. The core problem it solves is that AI models like Claude or ChatGPT struggle to write accurate SQL (the language for querying databases) against real business data because they do not understand what the tables and columns actually mean, overlapping naming, inconsistent definitions, and complex relationships confuse them. WrenAI lets you model your business data once using MDL (Modeling Definition Language), defining entities, relationships, calculations, and access rules, and then any AI agent queries through that shared understanding rather than trying to interpret the raw database directly. The system is powered by a Rust engine built on Apache DataFusion (a query execution engine) that translates modeled SQL queries and runs them against over 20 data sources including PostgreSQL, BigQuery, Snowflake, MySQL, DuckDB, Databricks, Redshift, ClickHouse, Athena, Spark, and others. It can be used as a Python SDK, a command-line tool, or as a WebAssembly (WASM) module that runs in the browser. There are also integrations for LangChain (a popular AI framework) with more framework integrations listed as coming soon. You can install WrenAI's agent skills using the npx skills add command and let an AI coding assistant like Claude Code or Cursor handle the onboarding setup. The core components are licensed under Apache 2.0, built by Canner.