Denia is an open-source agentic framework designed for data-efficient AI-guided experimentation. It combines active learning, Bayesian optimization, and autonomous agents to intelligently select and run the next best experiments, particularly in materials science and catalysis. The framework helps researchers accelerate discovery by minimizing the number of physical or computational experiments required.
denia sits in PulseGate's AI & ML category. Efficiently guiding scientific experiments with minimal data using AI agents. It is built as an open-source project for researchers. denia is open source under the MIT license. It runs on the command line, and it can be self-hosted.
denia first shipped in 2026. Among its 5 catalogued features are Autonomous Discovery, Bayesian Optimization, and Active Learning.
Summary written by a language model from the project’s public pages.
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