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Gyrus :Open-Source AI Agents for Snowflake, SQL and Postgres

Gyrus :Open-Source AI Agents for Snowflake, SQL and Postgres

by MalviyaPriyank·Apr 20, 2026·2 points·1 comment

AI Analysis

●●SolidShip ItNiche Gem

Hard-coded DROP command blocks beat prompt engineering for database safety.

Strengths
  • Tool-level safety blocks prevent destructive SQL better than prompt constraints.
  • Self-hosted architecture avoids API costs and keeps credentials local.
  • Separate repositories for Postgres, Snowflake, and SQL Server keep dependencies clean.
Weaknesses
  • Zero stars on main repos suggests unproven stability or very early stage.
  • Mentions Gemma 4 support, which does not exist yet as of today.
Category
Target Audience

Data engineers and DevOps teams managing AI access to production databases

Similar To

Vanna AI · LangChain SQL Agents · Defog

Post Description

I wanted a way to get the power of a multi agent system, handling everything from schema design to security hardening, without the "API tax."

That’s why I built Gyrus. It's a suite of open source, self hosted agentic frameworks: Frosty for Snowflake, Zeus for SQL Server, and Mick for Postgres.The core philosophy is total control: you host it, you own the credentials, and you choose the model. I am also updating the snowflake agent this week to support open source Gemma 4 models, I ran evaluation against state of the art models, and its performing equally well when it comes to accuracy. Its little slower than them but it gets the job done for Free. I've also implemented a "Safety First" architecture, including hard coded blocks for destructive commands like DROP at the tool level, because in data ops, prompt based safety isn't enough.

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