Desktop appCurrent v0.2.9

Genomics Caddy

A local desktop app for exploring AncestryDNA and 23andMe files, building trait reports, and keeping the data on your machine.

  • Desktop app
  • MCP server
Get the current build View source on GitHub
Works on
  • Windows
  • macOS
  • Linux
Latest
v0.2.9
Released
Sep 27, 2026
Language
Rust
Current files
3 direct
Genomics Caddy report workspace with profile import and trait review panels.
Report workspace with profile import status, trait cards, and review controls.
Download · current stable release

Download for your system

Sep 27, 2026

Choose your operating system, then select the package or architecture that matches it. Every download goes straight to the current release asset.

Versionv0.2.9
Direct files3
Platforms3

Windows

Current build
01
Windows PortableDownload GenomicsCaddy-portable-windows.zip14 MBSignature

macOS

Current build
01
macOS UniversalDownload Genomics.Caddy_0.2.9_universal.dmg33 MBSignature

Linux

Current build
01
Linux AppImageDownload Genomics.Caddy_0.2.9_amd64.AppImage90 MBSignature

Checksum or signature files are linked beside the matching GitHub asset.

Open the release history on GitHub
The point of it

What it does

People reviewing their own AncestryDNA or 23andMe export files, plus developers exploring local genomics workflows.

It keeps imported genotype data on the machine while turning it into reports that can be inspected and shared deliberately. The output is informational, not medical advice.

  • Import an AncestryDNA or 23andMe file and review clean rows, skipped rows, and profile changes before continuing.
  • Run Simple, Clinical, or Compare marker reports against the local profile.
  • Use the optional local Ollama and MCP paths when an agent-assisted review is useful.
  • Keep the source file and generated reports under your control on the local machine.

Keep in mind: Genomics Caddy is designed around local files. Do not treat a generated report as a diagnosis, and do not connect an external service unless you intend to share the data.

Open the project README