Your local workspace
Your data, R/Python environments, analysis artifacts, figures, and reports live on your computer.
How it works
Lab Agent Works separates the scientific workspace from the guidance that supports it. You work with your data locally, while specialized knowledge and workflows are maintained through the protected Core.
Raw matrices & processed inputs
Your question, context & decisions
Local scientific computation
Figures, tables, reports & provenance
Raw matrices stay on your computer. Scientific computation runs locally.
Your own AI provider supports reasoning and execution. Prompts and shared project context may leave your computer and are subject to that provider’s policies.
Three parts, clear roles
Your data, R/Python environments, analysis artifacts, figures, and reports live on your computer.
Use your own model authentication for reasoning and execution. Review the context sent to your provider and its data policies.
Connect to versioned workflows, scientific skills, reusable experience, account services, entitlement, and updates.
In practice / scRNA-agent
Start with a biological question, review the analysis choices, run local tools, and inspect the outputs. Revisit earlier steps as your understanding develops.
An adaptable framework, not a fixed pipeline. The steps and methods depend on the dataset and biological question.
Guidance helps you navigate methods; it does not validate every assumption or guarantee a result. Study design, quality assessment, and biological interpretation remain researcher responsibilities.
Explore scRNA-agentYour next biological question
Meet scRNA-agent, the first tool from Lab Agent Works.