dbx-studio: Free Open-source AI SQL client that helps developers and data teams explore databases using natural language

by Dbxstudio · Agent Tool · ★ 84

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install dbx-studio

docker run -d --name dbx-studio1 -p 3000:3000 -p 3002:3002 -v "${PWD}\app_data:/app/data" -v "${PWD}\api_data:/app/apps/api/data" dbx25/dbx-studio1:latest
docker run -d --name dbx-studio1 -p 3000:3000 -p 3002:3002 -v "$(pwd)/app_data:/app/data" -v "$(pwd)/api_data:/app/apps/api/data" dbx25/dbx-studio1:latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: CAUTION · quality 59/100

Flagged: reads sensitive env vars. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsdatabaseopen-sourcesql-query

Quick Facts

Stars84
Forks10
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score59/100
Open Issues13
Last Updated2026-08-03
Created2026-01-15
Platformscli, node
Est. Tokens~13k

About dbx-studio

DBx Studio Free AI-powered open-source database management tool that simplifies database interactions with secure connection storage and AI-assisted SQL query writing. ✨ Try DBx Studio ✨ Features 🧠 Intelligent Query Generation Describe what you want in plain English — dbx generates optimized SQL queries instantly.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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