AIRAS - an open-source project for research automation
Airas Logo
AIRAS is an open-source software for automated research, being developed to support the entire research workflow. It aims to integrate all of the necessary functions for automating research—from literature search and method generation to experimentation and paper writing—and is designed with the aim of enabling as many individuals and organizations as possible to contribute to open innovation in research automation.
Features of AIRAS include:
Implemented as individual research processes
Allows users to add their own original research processes
Enables saving implemented code and executing it on large-scale computational resources through advanced integration with GitHub
Supports not only fully automated research, but also interactive research in which users can collaborate with the system
Currently, it focuses on the automation of machine learning research.
Quick Start
Use AIRAS research tools (paper search, retrieval, hypothesis generation, experiment execution, paper writing) directly from an MCP client. No clone, no Docker — only uv is required.
Claude Code
bash
claude mcp add airas -- uvx airas
Other MCP clients (mcp.json)
Add the following to your client's MCP configuration file (e.g. .mcp.json):
See the MCP documentation for the full tool list and configuration options.
Roadmap
Complete automation of machine learning research with code-based experimentation
Autonomous research in Research in simulated robotic environments
Autonomous research in Real-world robotics research.
Laboratory Automation and autonomous research in various fields
Contact
We aim to build an operating system for automated research that enables humanity to discover scientific breakthroughs it has not yet reached.
If you are interested in this topic, please feel free to contact us at ulti4929@gmail.com.
About AutoRes
This OSS is developed as part of the AutoRes project.
License
This project is licensed under the MIT License.
See the LICENSE file for details.
Contributions
By contributing to this project, you agree that your contributions are subject to the Contributor License Agreement (CLA) and may be used, modified, redistributed, and relicensed by the project owner, including for commercial, enterprise, and SaaS offerings.