AI-Powered Scientific Research Framework
BioAgents is a multi-agent framework for autonomous deep research in biological sciences. Combine literature analysis, data scientist agents, and iterative hypothesis-driven investigation to enable real scientific discovery.
Quick Start
Get BioAgents running in minutes with these simple steps.
Configure environment variables
Copy the example environment file and add your API keys:Set your LLM provider API keys:
Key Features
Powerful capabilities for autonomous scientific research.
Multi-Agent Architecture
Specialized agents for literature search, data analysis, hypothesis generation, and reflection work together autonomously.
Deep Research Mode
Iterative hypothesis-driven investigation with human-in-the-loop steering for real scientific discovery.
Configurable LLM Backends
Unified interface supporting OpenAI, Anthropic, Google, and OpenRouter with extended thinking capabilities.
Literature Search
Semantic search with LLM reranking across OpenScholar, Edison, and custom knowledge bases.
Data Analysis
Upload datasets and perform automated analysis with state-of-the-art performance on BixBench benchmarks.
Paper Generation
Generate LaTeX papers with complete traceability from claims to source data and citations.
Explore by Topic
Learn about BioAgents’ architecture and capabilities.
API Reference
Complete documentation for all API endpoints.
Chat API
Agent-based chat with automatic literature search
Deep Research
Start and manage deep research jobs
File Upload
Upload datasets for analysis
Paper Generation
Generate LaTeX papers from research
Payment APIs
Micropayment protocols (x402/b402)
Admin Dashboard
Monitor job queues and workers
Ready to start researching?
Deploy BioAgents in minutes and begin autonomous scientific discovery with multi-agent collaboration.
Get Started Now