RD-Agent

RD-Agent

RD-Agent is Microsoft's framework for automating the research and development cycle. It models R&D as a loop of hypothesis → experiment → feedback, enabling agents to autonomously run data science competitions, build quant trading factors, perform medical research tasks, and implement ML ideas from papers.

Key Features

• Hypothesis-driven loop — generates testable hypotheses from a research goal, implements experiments, evaluates results, and refines
• Multi-domain — specialized scenarios for quantitative finance (factor research), data science (Kaggle-style), and general ML
• Code-first execution — experiments run as generated Python code in isolated Docker containers
• Paper-to-code — reads arXiv papers and implements the described method automatically
• Multi-agent collaboration — research agent and development agent work in tandem with shared memory
• Extensible scenarios — add custom R&D tasks by implementing the scenario interface

Quick Start

pip install rdagent
rdagent fin_quant  # run quant factor research scenario

Install via ai-supply

npx ai-supply add microsoft-rd-agent-research-dev

Curated mirror of the open-source RD-Agent (MIT). Get it from the source.