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GitHub · OtterMind/Chat2DB↑ +82 today

Artificial intelligence supported database management

Chat2DB stands out as an artificial intelligence-supported database management tool and SQL client. This platform, developed with Java, provides the opportunity to manage multiple database systems such as MySQL, PostgreSQL and Oracle through a single graphical user interface (GUI).

Updates

  • October 9, 2026: Stars 28,268 → 28,307, latest release v5.3.8 (October 9, 2026).
  • September 27, 2026: Stars 28,110 → 28,268, latest release v5.3.7 (September 22, 2026).
  • September 11, 2026: Stars 28,063 → 28,110, latest release v5.3.6 (September 10, 2026).
  • September 3, 2026: Stars 27,994 → 28,063, latest release v5.3.5 (September 2, 2026).

What you get

  • Support for more than 30 databases
  • Create and explain SQL with natural language
  • Visual data management and panels

Installation

Installation with Docker
./script/security/init-community-encryption-key.sh
docker compose --file docker/docker-compose.yml up --detach
Generating an encryption key
./script/security/init-community-encryption-key.sh

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

Analyze my database tables, explain complex SQL queries in natural language, and optimize my existing queries for performance. Help me understand the relationships in my database schema and create the necessary DDL/DML commands.

Repository: https://github.com/OtterMind/Chat2DB. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forIt is suitable for database administrators, data analysts, and developers who want to speed up SQL processes with artificial intelligence.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-25: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.