The bioinformatics build.

2,780 modules in build covering the daily work of molecular biology: alignment, variant calling, structure prediction, single-cell analysis, and more. Each module exposes a machine-readable interface for AI-agent operation and is verified against its reference implementation.

2,780
Modules in build
2,066
Corpus entries
33
Families in the catalog
3 builds
Flagship aligner

What the records hold

The catalog, by entry type.

Each entry type has its own record format, and every row links into the module catalog: external tools with their source repositories, native tools, trained models, visualizers, and pipelines.

Catalog entries
External tools cataloged with full records, contracts, and source-repository references.
1,575entries
Native tools
Written from scratch in Rust where no reference implementation existed.
149entries
Models
Trained weights with their evaluation records attached.
108entries
Visualizers
Figure engines and browsers for the output the corpus produces.
108entries
Pipelines
Multi-step runs that chain corpus modules into a single execution.
106entries
BioNeMo-lineage models
Foundation-class models for sequence and structure.
20entries

The flagship, in three sizes

One aligner, three builds.

The STAR splice-aware aligner is demanding at full speed. Our build ships in three configurations: fast, standard, and a low-memory build that fits within 500 megabytes of RAM, for workstations and field environments with constrained resources.

All three are planned as free desktop builds and are verified against the original implementation's output.

aligner buildsin build
buildfast
forworkstations with room to run
buildstandard
forthe everyday server
buildlow-memory
for500 MB of RAM
Same output and verification standard across all three builds.

Under the tools

The grounding layer.

A knowledge graph covering the human and plant genomes, and a graph neural network for genomics, drug discovery, and repurposing, sit beneath the agent layer and read alongside your data.

Reference access for researchers is planned: a limited free tier, with wider access by subscription.

Human genome
large-scale graph in build
Plant genome
plant genomics graph
Drug discovery
targets, compounds, repurposing
Graph neural network
reads the graph natively
Chem + materials
grounding layer, next in the build
Rare disease
supported research focus

The catalog

Thirty-three families, one catalog.

Free
the whole corpus, no AI

Every bioinformatics entry, packaged for desktop systems and distributed through standard app stores.

in development
Subscription
the same corpus, AI-driven

Operate the corpus with Claude, Codex, or the DarwinOmics agents. Reference access to the knowledge graph ships in the same channel.

in development
Enterprise
inside your infrastructure

The platform installed within your institution; your data remains within your infrastructure.

in development

The bioinformatics catalog is public.

2,780 modules in build, each with a public record page. Release proceeds module by module as verification completes.