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Bioinfoflow v0.1 preview is live

A local Agent for bioinformatics

Bioinformatics in plain language.

Describe the goal. The Agent prepares the workflow and parameters, ready for your approval.

You approve each run. Data stays in your environment.

Bioinfoflow dashboard showing system readiness and recent workflow activity

01 / Dashboard

See system readiness, active work, and recent runs before committing compute.

02 / Agent

Describe the biological objective in plain language and turn it into an inspectable execution plan.

03 / Workflows

Select validated nf-core pipelines or register local WDL and Nextflow workflows with their configuration visible.

04 / Runs

Follow status, logs, artifacts, and recovery history from one durable run record.

Bioinfoflow dashboard showing system readiness and recent workflow activity

01 / Dashboard

See system readiness, active work, and recent runs before committing compute.

Bioinfoflow agent workspace preparing a bioinformatics workflow plan

02 / Agent

Describe the biological objective in plain language and turn it into an inspectable execution plan.

Bioinfoflow workflow registry with validated and local pipelines

03 / Workflows

Select validated nf-core pipelines or register local WDL and Nextflow workflows with their configuration visible.

Bioinfoflow runs view showing workflow status and execution history

04 / Runs

Follow status, logs, artifacts, and recovery history from one durable run record.

From goal to result

Bring the analysis goal. Let the Agent handle the rest.

Bioinfoflow connects the workflow, run, and result. You stay in the loop to inspect and approve.

01

Describe what you need

Agent

Tell the Agent the analysis goal, where the data lives, and any constraints.

Goals and constraints stay with the analysis
02

Find the right workflow

Workflows

Choose from nf-core, Nextflow, and WDL workflows, then confirm versions and parameters.

Inspect versions and parameters before a run
03

Keep data where it is

Runtime

Run on a workstation, server, or connected compute environment without uploading data first.

Connect local, server, and remote compute
04

Trace what went wrong

Runs

Status, logs, and task history remain available so you can diagnose and continue.

Logs and task state persist beyond the session
05

Reproduce every result

Workspace

Parameters, versions, outputs, and files stay connected to the analysis record.

Results remain traceable to versions and parameters

Local check

Can this computer run WGS?

Check whether its GPU, memory, and storage meet local analysis requirements.

Local configuration
Not checked
01

RTX 4090

GPU

NVIDIA GPU with 16GB+ VRAM

02

64GB+

Memory

System RAM for genome data

03

500GB+ SSD

Storage

Fast storage for temp files

Only local hardware details are read. No research data is uploaded.Bioinfoflow / local check

Data and permissions

Keep data in your environment

Run on your computer or server. You decide where data lives.

Run boundaryYou stay in control

No upload required

01

Read from local directories or connected compute environments without sending data to a hosted cloud first.

Data locations do not change automatically

You approve each run

02

The Agent shows the plan, parameters, and run location before anything starts.

Runs start only after confirmation

Every step stays recorded

03

Status, parameters, logs, and result locations remain available for review or recovery.

Run records stay connected to results

Bioinfoflow - Local-first Agentic Bioinformatics Platform