Basevolt is a local-first database admin panel for indie hackers and others who need to connect to a database and get an admin interface quickly. It is built around the idea that database administration should not require a cloud SaaS or third-party access, and it presents itself as a local tool with no cloud and no lock-in.
It connects to PostgreSQL, MySQL, SQLite, and Cloudflare D1, and it works with existing databases instantly. Basevolt can auto-configure a schema in seconds: it detects field types, sets up relationships, and configures display settings. The interface includes grid, gallery, kanban, and dashboard views, and the dashboard supports drag-and-drop widgets such as stat cards, charts, and tables. It also supports virtual UI customization by letting users rename fields and format values as display-only changes, while leaving the original schema untouched. Other described features include virtual relationships across tables even without foreign keys, multi-condition filters, multi-field sort, full-text search, and an MCP server that lets Claude or Cursor manage the schema.
The product is delivered as a local app that runs on the user’s machine, and the page states that all processing happens locally and data never leaves the machine. It is offered free for up to 2 data sources, with no account and no credit card required to start. The paid Pro plan costs $99 per year and adds unlimited data sources, webhooks and action buttons, cross-device sync, and a yearly fallback license. The page also describes Basevolt as a PostgreSQL admin panel, MySQL admin tool, SQLite GUI, and Cloudflare D1 admin.
In the Databases (SQL, NoSQL, vector, graph) space, Basevolt takes a focused approach. It focuses on managing and editing local databases without relying on cloud-based admin panels or exposing data to third parties. Basevolt is a B2B product aimed at indie hackers and developers managing their own databases. There is a free tier, and paid plans start at $9. It runs on the web, macOS, Windows, and Linux.
Basevolt first shipped in 2024. Key capabilities include local-first, admin panel, and AI schema config. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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