RD-Agent

What is RD-Agent?

RD-Agent is an open-source tool from Microsoft that automates data-driven AI research and development. The repository on GitHub indicates it has 14,051 stars. According to the project documentation, RD-Agent is designed to handle the full cycle of R&D tasks: generating hypotheses, designing experiments, running code, and analyzing results. It treats research as a data-driven process where the agent iterates based on outcomes from prior runs. The tool focuses on quantitative fields such as machine learning, financial modeling, and scientific computing, where experiments can be scripted and evaluated automatically. The documentation describes a system that reads from and writes to a knowledge base, allowing the agent to reuse past findings and avoid redundant work. RD-Agent is built on a framework that integrates large language models with execution environments. The project website is hosted at rdagent.azurewebsites.net.

Who is RD-Agent for?

RD-Agent targets researchers and engineers who run many experiments and want to speed up the iteration cycle. The documentation suggests users who have a well-defined pipeline—data preprocessing, model training, evaluation—and want an agent to propose changes, run tests, and log outcomes. It suits teams that already work with version-controlled code and structured datasets. Individual data scientists exploring hyperparameter spaces or architecture variations can also benefit. RD-Agent is not aimed at non-programmers; using it requires familiarity with GitHub, scripting, and experiment tracking. The project's description emphasizes "data-driven AI research," so users likely come from machine learning operations (MLOps) teams, academic labs, or applied research groups. University researchers seeking to automate paper reproduction or baseline comparisons are a plausible audience. The tool appears to assume a moderate level of infrastructure knowledge.

How much does RD-Agent cost?

RD-Agent is free. The pricing model is listed as free, with a starting price of $0 per month. Since it is an open-source project hosted on GitHub under Microsoft's account, there are no subscription fees or license costs. Users run the agent on their own hardware or cloud instances, incurring only standard compute costs. The project page does not mention any paid tier or enterprise plan. The only required cost is for large language model API calls if the agent uses external models for hypothesis generation; that expense is separate from the tool itself. The documentation advises that typical usage scales with the number of experiments and model complexity, but the core software remains free.