The Denario Project: Multi-Agent Systems for Autonomous Scientific Discovery

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• Boris Bolliet, Department of Physics
• Monday 27 October 2025, 12:30-13:00
• SS03 Seminar Room, Willam Gates building (Department of Computer Science and Technology).

If you have a question about this talk, please contact Sam Nallaperuma-Herzberg.

We present Denario, an AI multi-agent system designed to be a scientific research assistant. Denario can perform many different tasks, such as generating ideas, checking the literature, developing research plans, writing and executing code, making plots, and drafting a scientific paper. Denario is built as a modular system, and therefore, can perform either very specific tasks, such as generating an idea, or carrying out end-to-end scientific analysis using Cmbagent (https://github.com/CMBAgents/cmbagent) as a deep-research backend. We describe Denario and its modules in detail and illustrate its capabilities by presenting multiple AI-generated papers generated by it. These papers cover many scientific disciplines, such as astrophysics, biology, biophysics, biomedical informatics, chemistry, material science, mathematical physics, medicine, and planetary science. Denario can also perform research combining ideas from different disciplines. We publicly release the code at https://github.com/AstroPilot-AI/Denario. A Denario demo can also be run directly on the web at https://huggingface.co/spaces/astropilot-ai/Denario, and the full app will be deployed on the cloud.

This talk is part of the Accelerate Lunchtime Seminar Series series.

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