El Agente Gráfico
Purpose and distinctive contribution
Provide reliable execution and persistent scientific state for scientific agents.
A semantic, type-safe execution runtime represents scientific objects and dependencies explicitly, with symbolic identifiers and optional external knowledge-graph persistence.
This page describes the specific system in the cited study, not every capability of the wider El Agente platform.
Publication and full author credit
Jiaru Bai; Abdulrahman Aldossary; Thomas Swanick; Marcel Müller; Yeonghun Kang; Changhyeok Choi; Naruki Yoshikawa; Zijian Zhang; Jin Won Lee; Tsz Wai Ko; Aiwei Yin; Mohammad Ghazi Vakili; Chris Crebolder; Varinia Bernales; Alán Aspuru-Guzik. (2026). El Agente Gráfico: A Semantic Execution Runtime for Scientific Agents. arXiv:2602.17902.
Publication or posting date: . Preprint; journal publication not independently verified.
Research roles and contributions
Prof. Varinia Bernales and Prof. Alán Aspuru-Guzik are credited as coauthors alongside the complete team above. Detailed conception, supervision, implementation, and maintainer roles have not been independently verified for this page and are not inferred from author order.
Software, artifacts, and limitations
Paper-linked research artifacts → Paper-linked chat transcripts; not complete runtime source. Availability evidence in the manuscript.
Capabilities are bounded by the tasks, tools, models, and evaluation conditions reported in the study. No universal speedup, reliability, or fully autonomous experimental capability is claimed here. Consult the linked manuscript’s methods and limitations before applying its results to a new workflow.