Chat2DB
A local-first database client with AI SQL help — 40+ databases, desktop, web, Docker and CLI
dbx ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von t8y2 (t8y2/dbx auf GitHub). Es hat 25.210 Sterne auf GitHub und 2.283 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A 25MB database client for 100+ databases — with a built-in AI assistant, MCP server and CLI
Decide what you want to achieve with dbx and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
One client for relational, NoSQL, embedded and analytical databases.
Built-in AI help for writing and understanding queries.
A polished editor plus grid for browsing and editing data.
Schema browsing/comparison tools and connectivity safety features documented in the README.
npx @dbx-app/mcp-server exposes database access to MCP-compatible AI agents.
Roughly 25MB desktop app, plus Docker self-hosting and a CLI for scripts.
Get the DBX source and deployment files.
git clone https://github.com/t8y2/dbx.git
cd dbxOn macOS, install via Homebrew cask (other platforms use the releases/Docker options in the README).
brew install --cask dbxRun 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 tagdbx is maintained by the t8y2 organization/account on GitHub, together with open-source contributors, in the public repository t8y2/dbx.
Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.
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.
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.
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.
A local-first database client with AI SQL help — 40+ databases, desktop, web, Docker and CLI
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
A bridge between Streamable HTTP / SSE and stdio MCP transports — connect any client to any server
Symbol-level code retrieval MCP server (tree-sitter AST) built to slash agent token costs on exploration
Turn any MCP server, OpenAPI spec or GraphQL endpoint into a CLI — at runtime, with zero codegen
MCP server that puts Apple developer docs inside your AI coding assistant.
Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls dbx nicht das Richtige ist.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Verwandte Projekte der Kategorie Entwickler-Tools im Katalog, die dbx bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
TOON: a compact, human-readable serialization of JSON that saves tokens in LLM prompts
A desktop GUI and toolkit for Claude Code - agents, sessions, analytics and MCP
Context optimization for coding agents: sandbox tool output, keep sessions lean, remember more
Hugging Face's library for loading and processing datasets for AI models in one line
Vercel's AI SDK: the TypeScript toolkit for building AI apps and agents with any model provider
Fine-tune huge models on small hardware with LoRA and other efficient methods
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.