HelixGenomics

AI agents that collaborate to analyze your DNA. 12 public databases, real-time dashboard, runs 100% locally. Drop in your 23andMe, AncestryDNA, or VCF file.

12
2
100% credibility
Found Apr 03, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

An open-source AI multi-agent system that processes consumer DNA files against public genomic databases to produce domain-specific health reports.

How It Works

1
🔍 Discover the genomic helper

You find this free tool online that uses smart AI helpers to explore your DNA file for health insights.

2
📥 Get your DNA ready

You grab your personal DNA file from a service like 23andMe or Ancestry and place it on your computer.

3
⚙️ Run the easy setup

You click to run a simple setup that gathers public health knowledge and connects friendly AI thinkers.

4
🧬 Pick your focus

You open the dashboard and choose a scan type like quick overview or deep dive into cancer risks.

5
Start your scan
Quick scan

Fast check for big highlights in minutes.

🔬
Deep research

Thorough look at specific health areas like heart or drugs.

❤️
Heart focus

Targeted review of cardiovascular insights.

📄 Get your report

You receive a clear, personalized summary of key findings to discuss with your doctor.

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Star Growth

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AI-Generated Review

What is Genomic-Agent-Discovery?

This JavaScript tool lets you drop in a 23andMe, AncestryDNA, or VCF file and have AI agents collaborate to analyze your DNA against 12 public databases like ClinVar and gnomAD. It spins up domain-specific agents—cancer genetics, pharmacogenomics, cardio risks—that query genotypes, cross-reference annotations, and synthesize reports via a real-time React dashboard or CLI output. Runs 100% locally after a one-time database build, delivering actionable health insights without uploading data.

Why is it gaining traction?

Unlike cloud genomics services, it offers github agents-style collaboration with Claude (via claude-cli or API), plus Ollama for free local runs—no pricing surprises like github agents pricing. Presets like quick-scan or cancer-research make it dead simple to kick off analyses, with a dashboard tracking agent chatter and costs in real-time. Devs dig the agent sdk-like config in YAML for custom pipelines.

Who should use this?

Biohackers with raw DTC DNA files wanting pharmacogenomics or rare disease discovery without docs visits. JS devs prototyping genomic apps or github agents examples for healthcare. Researchers testing multi-agent dna analysis on personal datasets.

Verdict

Promising local dna agent framework, but low maturity—11 stars, 1.0% credibility score, setup-heavy db build. Solid for quick-scan presets if you're into claude agents github code; skip for production until more examples and tests land.

(187 words)

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