CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows

Agentic code generation has the potential to accelerate the development of computational workflows while also reducing barriers to entry. However, a key gap remains: existing coding agents focus on code generation and do not address the entire workflow lifecycle, including deployment and sharing. As a result, users develop and stitch modules independently while managing deployment on their own. To address this gap, we propose CURATE (Composition, User-in-the-loop, Reuse, and Automated Task Execution), a novel human-in-the-loop multi-agent system that uses LLM agents to manage and develop composable workflows across their entire lifecycle. A key feature of the system is a catalog that allows for the storage and reuse of modules across workflows. Module catalogs provide a foundation that can be expanded to support FAIR principles by facilitating the sharing and reuse of curated modules and subgraphs. We demonstrate the feasibility of our system with an initial prototype and 6 experiments.

Recommended citation: Nolan Cutler, Chia-Chen Kuo, Nanda Velugoti, Kathryn Newhart, Renato J. Figueiredo, "CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows ", 21st Workshop on Workflows in Support of Large-Scale Science (WORKS’2026, with SC’2026) https://works-workshop.org/