Does Biomni require external data?

Yes, it downloads approximately 11GB of integrated biomedical databases (including NCBI and UniProt) on its first use to provide grounded reasoning and knowledge retrieval.

Can Biomni help with clinical genomics?

Yes, it is designed to handle rare disease diagnosis, variant pathogenicity interpretation, and phenotype-genotype mapping using integrated clinical databases.

Which LLM providers are supported by Biomni?

Biomni supports Anthropic Claude (recommended), OpenAI, Azure OpenAI, Google Gemini, Groq, and AWS Bedrock for its reasoning engine.

Biomni is an open-source biomedical AI agent framework from Stanford's SNAP lab that autonomously performs complex research tasks in biology and medicine.

Is Biomni safe for executing research code?

Biomni executes LLM-generated code with full system privileges to process data. It is highly recommended to run the tool in isolated environments like Docker or VMs for security.

Biomni: Biomedical AI Agent

Name: Biomni: Biomedical AI Agent
Author: x-cmd

byx-cmd

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数据科学与机器学习

Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis using integrated databases and code execution.

Biomni is a specialized agentic framework developed by Stanford's SNAP lab, designed to automate complex biomedical research workflows. By combining large language model reasoning with a curated 11GB biomedical knowledge base and autonomous code execution, it assists researchers in tasks like CRISPR screening design, single-cell RNA-seq analysis, and ADMET prediction. It serves as a comprehensive tool for molecular biology and drug discovery, enabling a seamless transition from high-level research questions to detailed data analysis, variant interpretation, and protocol generation.

主要功能

01Dynamic Python code generation and execution for data analysis pipelines

02Automated result interpretation and comprehensive PDF report generation

038 GitHub stars

04Multi-step autonomous reasoning and planning for complex biological queries

05Cross-domain capabilities spanning genomics, proteomics, and drug discovery

06Integrated access to 11GB of biomedical databases including Ensembl, UniProt, and PDB

使用场景

01Performing end-to-end single-cell RNA-seq analysis and cell type annotation

02Designing CRISPR screens and prioritizing genes based on pathway relevance

03Predicting ADMET properties and identifying targets for drug discovery candidates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add x-cmd/skill biomni

For use in Claude.ai and ChatGPT

Download Skill