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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Biomni: a general-purpose biomedical AI agent
| Date | Stars |
|---|---|
| 2026-07-31 | 3603 |
| 2026-08-02 | 3621 |
| 2026-08-03 | 3621 |
| 2026-08-06 | 3621 |
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<p align="center"> <img src="./figs/biomni_logo.png" alt="Biomni Logo" width="600px" /> </p> <p align="center"> <a href="https://join.slack.com/t/biomnigroup/shared_invite/zt-3avks4913-dotMBt8D_apQnJ3mG~ak6Q"> <img src="https://img.shields.io/badge/Join-Slack-4A154B?style=for-the-badge&logo=slack" alt="Join Slack" /> </a> <a href="https://biomni.stanford.edu"> <img src="https://img.shields.io/badge/Try-Web%20UI-blue?style=for-the-badge" alt="Web UI" /> </a> <a href="https://x.com/ProjectBiomni"> <img src="https://img.shields.io/badge/Follow-on%20X-black?style=for-the-badge&logo=x" alt="Follow on X" /> </a> <a href="https://www.linkedin.com/company/project-biomni"> <img src="https://img.shields.io/badge/Follow-LinkedIn-0077B5?style=for-the-badge&logo=linkedin" alt="Follow on LinkedIn" /> </a> <a href="https://www.biorxiv.org/content/10.1101/2025.05.30.656746v1"> <img src="https://img.shields.io/badge/Read-Paper-green?style=for-the-badge" alt="Paper" /> </a> </p> # Biomni: A General-Purpose Biomedical AI Agent ## Overview Biomni is a general-purpose biomedical AI agent designed to autonomously execute a wide range of research tasks across diverse biomedical subfields. By integrating cutting-edge large language model (LLM) reasoning with retrieval-augmented planning and code-based execution, Biomni helps scientists dramatically enhance research productivity and generate testable hypotheses. ## Quick Start ### Installation Our software environment is massive and we provide a single setup.sh script to setup. Follow this [file](biomni_env/README.md) to setup the env first. Then activate the environment E1: ```bash conda activate biomni_e1 ``` then install the biomni official pip package: ```bash pip install biomni --upgrade ``` For the latest update, install from the github source version, or do: ```bash pip install git+https://github.com/snap-stanford/Biomni.git@main ``` Lastly, configure your API keys using one of the following methods: <details> <summary>Click to expand</summary> #### Option 1: Using .env file (Recommended) Create a `.env` file in your project directory: ```bash # Copy the example file cp .env.example .env # Edit the .env file with your actual API keys ``` Your `.env` file should look like: ```env # Required: Anthropic API Key for Claude models ANTHROPIC_API_KEY=your_anthropic_api_key_here # Optional: OpenAI API Key (if using OpenAI models) OPENAI_API_KEY=your_openai_api_key_here # Optional: Azure OpenAI API Key (if using Azure OpenAI models) OPENAI_API_KEY=your_azure_openai_api_key OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ # Optional: AI Studio Gemini API Key (if using Gemini models) GEMINI_API_KEY=your_gemini_api_key_here # Optional: groq API Key (if using groq as model provider) GROQ_API_KEY=your_groq_api_key_here # Optional: Set the source of your LLM for example: #"OpenAI", "AzureOpenAI", "Anthropic", "Ollama", "Gemini", "Bedrock", "Groq", "Custom" LLM_SOURCE=your_LLM_source_here # Optional: AWS Bedrock Configuration (if using AWS Bedrock models) AWS_BEARER_TOKEN_BEDROCK=your_bedrock_api_key_here AWS_REGION=us-east-1 # Optional: Custom model serving configuration # CUSTOM_MODEL_BASE_URL=http://localhost:8000/v1 # CUSTOM_MODEL_API_KEY=your_custom_api_key_here # Optional: Biomni data path (defaults to ./data) # BIOMNI_DATA_PATH=/path/to/your/data # Optional: Timeout settings (defaults to 600 seconds) # BIOMNI_TIMEOUT_SECONDS=600 ``` #### Option 2: Using shell environment variables Alternatively, configure your API keys in bash profile `~/.bashrc`: ```bash export ANTHROPIC_API_KEY="YOUR_API_KEY" export OPENAI_API_KEY="YOUR_API_KEY" # optional if you just use Claude export OPENAI_ENDPOINT="https://your-resource-name.openai.azure.com/" # optional unless you are using Azure export AWS_BEARER_TOKEN_BEDROCK="YOUR_BEDROCK_API_KEY" # optional for AWS Bedrock models export AWS_REGION="us-east-1" # optional, defaults to us-east-1 for Bedrock export GEMINI_API_KEY
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:01c8812aba3730ed, desc:ai agent