RD-Agent
Automating high-value R&D processes through AI-driven data science and model development.
GraphCanon updated 2d · GitHub synced 2d · 32 views this month
Decision brief
RD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations.
Good fit when
- When you require automation in high-value R&D tasks that revolve around data science and model development within the AI domain.
- For scenarios where Python-based solutions are preferred, as it offers direct installation via PyPI or development setup options from source.
Avoid when
- When the need arises to work in an environment where Python cannot be used or there is a requirement for another programming language framework that complements existing infrastructure better.
- If your development team lacks expertise with Docker and is not willing or able to adopt it, as most scenarios within RD-Agent require a solid Docker setup.
- Pricing:
- freemium - RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed.
- Requirements:
- Requires Docker; Ensure Docker is installed beforehand and accessible without `sudo` by the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (14d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- 10 low (10 low)
- As of 1mo
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Backing
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- Company
- Microsoft·GitHub org profile·1mo
- Employees
- 221,000·Wikidata (P1128 employees)·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
pip install RD-Agent PyPIHow it fits your stack(13)
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Evidence and technical details
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Overview
R&D-Agent is an automation tool aimed at streamlining research and development aspects focused on data and models in the AI domain. It provides a framework for automating generic R&D processes using Python, supported by Docker installations.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
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Compatibility
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README
🐳 Docker installation.
Users must ensure Docker is installed before attempting most scenarios. Please refer to the official 🐳Docker page for installation instructions.
Ensure the current user can run Docker commands without using sudo. You can verify this by executing docker run hello-world.
🛠️ Install the R&D-Agent
For Users
- You can directly install the R&D-Agent package from PyPI:
pip install rdagent
For Developers
- If you want to try the latest version or contribute to RD-Agent, you can install it from the source and follow the development setup:
git clone https://github.com/microsoft/RD-Agent cd RD-Agent make dev
More details can be found in the development setup.
For agents
This page has a .md twin and JSON over the API.