// devtools · t8y2/dbx

dbx

A 25MB database client for 100+ databases — with a built-in AI assistant, MCP server and CLI

★ 25.2k stars⑂ 2.3k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

dbx is an open-source dev tools project by t8y2 (t8y2/dbx on GitHub). It has 25,210 GitHub stars and 2,283 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

Repository
t8y2/dbx
GitHub stars
25,210
Forks
2,283
License
Apache-2.0
Last updated on GitHub
8 October 2026
Category
Dev Tools
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want to achieve with dbx and check the README on GitHub for requirements before installing.

  2. Get the code

    Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).

  3. Install and configure

    Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.

  4. Run your first task

    Work through the README's quickstart example end to end, then adapt it to your own project or data.

// features

Why people love it

100+ databases, one tool

One client for relational, NoSQL, embedded and analytical databases.

AI SQL assistant

Built-in AI help for writing and understanding queries.

Query editor and data grid

A polished editor plus grid for browsing and editing data.

Schema and safety tools

Schema browsing/comparison tools and connectivity safety features documented in the README.

MCP server for agents

npx @dbx-app/mcp-server exposes database access to MCP-compatible AI agents.

Tiny footprint, many forms

Roughly 25MB desktop app, plus Docker self-hosting and a CLI for scripts.

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// run it

Run it yourself

  1. Clone the repository

    Get the DBX source and deployment files.

    git clone https://github.com/t8y2/dbx.git
    cd dbx
  2. Install the desktop app

    On macOS, install via Homebrew cask (other platforms use the releases/Docker options in the README).

    brew install --cask dbx
  3. Or self-host with Docker

    Run the web version in Docker on port 4224.

    docker run -d --pull=always --name dbx -p 4224:4224 dbxio/dbx:latest
    # image name per README 'Self-Hosted (Docker)' — check it for the current tag
// use cases

What you can build

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// faq

Questions, answered

Who maintains dbx?

dbx is maintained by the t8y2 organization/account on GitHub, together with open-source contributors, in the public repository t8y2/dbx.

Is dbx free to use?

Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.

Does dbx need a paid API key?

DBX itself is free and Apache-2.0; its AI assistant uses a model you configure, so AI features need your own provider key or endpoint.

How does dbx compare to DBeaver / Chat2DB?

DBeaver is the established heavyweight; DBX competes on size and speed with AI and MCP built in, while Chat2DB is a closer AI-first rival — DBX's edge is the tiny footprint and 100+ database breadth.

How do I get started with dbx?

Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.

// keep exploring

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// alternatives

Alternatives in Dev Tools

The most-starred other Dev Tools projects in the LibreAI catalogue — the realistic shortlist if dbx is not the right fit.

Get dbx

Free and open — grab the source, star the repo, and start creating.