Denario is a multiagent system designed to automatize scientific research. Denario implements AI agents with AG2 and LangGraph. The research analysis backend is cmbagent. Project under construction.
To install denario, just run
pip install denarioInitialize a Denario instance and describe the data and tools to be employed.
from denario import Denario
den = Denario(project_dir="project_dir")
prompt = """
Analyze the experimental data stored in data.csv using sklearn and pandas.
This data includes time-series measurements from a particle detector.
"""
den.set_data_description(prompt)Generate a research idea from that data specification.
den.get_idea()Generate the methodology required for working on that idea.
den.get_method()With the methodology setup, perform the required computations and get the plots and results.
den.get_results()Finally, generate a latex article with the results. You can specify the journal style, in this example we choose the APS (Physical Review Journals) style.
from denario import Journal
den.get_paper(journal=Journal.APS)You can also manually provide any info as a string or markdown file in an intermediate step, using the set_idea, set_method or set_results methods. For instance, for providing a file with the methodology developed by the user:
den.set_method(path_to_the_method_file.md)You can run Denario using a GUI through the DenarioApp.
Test the deployed app in HugginFace Spaces.
You will need python 3.12 installed.
Create a virtual environment
python3 -m venv .venvActivate the virtual environment
source .venv/bin/activateAnd install the project
pip install -e .You can also install the project using uv, just running:
uv syncwhich will create the virtual environment and install the dependencies and project. Activate the virtual environment if needed with
source .venv/bin/activatePull requests are welcome! Feel free to open an issue for bugs, comments, questions and suggestions.
