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However, current workflows remain computationally demanding and challenging to operate without dedicated infrastructure and expertise. To overcome these limitations, we present BinderFlow, an open, structured, and parallelised pipeline that automates end-to-end protein binder design. Its batch-based architecture enables live monitoring of design campaigns, seamless coexistence with other GPU-intensive processes, and minimal user intervention. BinderFlow\u2019s modular design facilitates the integration of new tools, allowing rapid adaptation to emerging methods. We demonstrate its utility by running automated design campaigns that rapidly generate diverse, high-confidence candidates suitable for experimental validation. To complement the pipeline, we developed BFmonitor, a web-based dashboard for real-time campaign monitoring, design evaluation, and hit selection. Together, BinderFlow and BFmonitor make generative protein design more accessible, scalable, and reproducible, streamlining both exploratory and production-level research. The software is freely available at\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/cryoEM-CNIO\/BinderFlow\" xlink:type=\"simple\">https:\/\/github.com\/cryoEM-CNIO\/BinderFlow<\/jats:ext-link>\n                    under the GNU LGPL v3.0 license.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1013747","type":"journal-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T18:46:02Z","timestamp":1763750762000},"page":"e1013747","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automated and modular protein binder design with 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