Ross ROSS = Recommend OSS · open-source software intelligence for agents

microsoft/RD-Agent

Some data may be outdated — see provenance labels.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report observed · 2026-09-21

github.com/microsoft/RD-Agent · homepage · Python · MIT (permissive) observed · 2026-09-21

Health v2 · maintenance only

69/100

  • Activity 95
  • Release rhythm 36
  • Longevity 66
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 42.0
  • age_days: 931
  • days_rel: 351
  • days_push: 35
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

14698 stars · 1926 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

RD-Agent is a Microsoft open-source framework that uses LLM-powered agents to automate research and development processes such as factor mining, model development, and data-driven iteration. It lets AI agents propose, implement, and evolve data and models in a continuous R&D loop.

Use cases

  • automate quantitative factor mining for finance
  • let an LLM agent iteratively improve ML models
  • automate data mining and feature engineering
  • run an AI-driven R&D loop over my datasets
  • auto-generate and evaluate model ideas from papers
  • build an agent that evolves trading factors automatically

When to choose

  • you want LLM agents to automate repetitive data science or quant research workflows
  • you need a framework for iterative factor or model discovery
  • you want a Microsoft-maintained, MIT-licensed agent framework with active development

When to avoid

  • you need a simple one-shot AutoML tool rather than an agentic R&D loop
  • you cannot run LLM API calls due to cost or privacy constraints
  • your workflow is outside data/model-centric R&D domains

Facets

framework · maturity active

agent-framework machine-learning data-science llm-inference etl workflow-automation artificial-intelligence data-science large-language-models python rd-automation factor-mining model-evolution research-agent microsoft ai-agents automation linux docker

1 source

Member repositories

RepositoryRoleHealth v2
microsoft/RD-Agentmain69

For agents

markdown · JSON · MCP: product_card(name="microsoft/RD-Agent")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem