Full Workflow Automation
Automates the entire R&D process including data ingestion, hypothesis generation, model coding, testing, and outcome reporting.
Iterative Learning Framework
Uses Research and Development agents that refine ideas and implementations based on continuous feedback and real-world practice.
LLM Compatibility
Supports integration with large language models such as GPT-4 through API key configuration for enhanced hypothesis and model generation.
Open-Source and Extensible
Available on GitHub for customization and ongoing updates to support more methods and application scenarios.