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GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

Why this job: works in the areas we cover, but does not say which job it does

Wren AI generative BI architecture — semantic layer and AI context layer for AI agents

What it does

WrenAI is the open-source generative BI (GenBI) engine. It gives the AI agents you already use (Claude Code, Cursor, MCP clients, LangChain) a governed semantic layer and an AI context layer, so they turn business questions into correct SQL, ship the answer as a shareable dashboard, and stay inside your guardrails.

Get started

pip install wrenai
Maintenance
Active
Last commit 2 days ago
Stars
18,146
+64 this week
Licence
Custom
Read before business use
Downloads for
None listed
No release files
Latest tag
wren-v0.18.0
Released 2 days ago
Built with
Python
68% of the code

Is it looked after?

Contributors
21
Last 90 days
Issues
72% closed
171 still open
Pull requests
1,674 merged
76 waiting
Releases
221
30+ in the last year

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More: languages, topics and project record

Languages

  • Python 68%
  • Rust 30%
  • HTML 1%
  • JavaScript 1%

Topics

  • bigquery
  • duckdb
  • llm
  • postgresql
  • rag
  • text-to-sql
  • sql
  • text2sql
  • charts
  • context-engineering
  • genbi
  • ai-agents

Project record

  • JobOther AI tools
  • StatusListed
  • Commits2,773
  • Forks2,092
  • Watching102
  • Stars in 28 days+295
  • CreatedMar 13, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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