Syll: Open-Source Personal Automation with Cross-Surface Execution

Syll is presented as an open-source tool designed for personal automation, featuring cross-surface execution. This project is documented in a paper, co-authored by Borui Zhang and seven other researchers, which is accessible on arXiv. The paper, submitted on May 28, 2026, and available in PDF format, details the functionalities and scope of Syll.

The arXiv platform provides extensive resources for researchers interested in Syll, including bibliographic tools like NASA ADS, Google Scholar, Semantic Scholar, and BibTeX citation export. These tools facilitate referencing and academic exploration of the paper within the broader scientific community.

Furthermore, the article on arXiv links to various code, data, and media resources. These include platforms like alphaXiv, CatalyzeX, DagsHub, Gotit.pub, Huggingface, and ScienceCast, which enable deeper engagement with the project's technical aspects and associated datasets.

For practical engagement and demonstrations, the arXiv page directs users to platforms such as Replicate, Hugging Face Spaces, and TXYZ.AI. These links offer avenues for experiencing Syll in action and understanding its application in real-world scenarios.

arXivLabs, an experimental framework, supports collaborations that enhance arXiv's features. It adheres to principles of openness, community, excellence, and user data privacy, partnering only with those who uphold these values. Syll's presence on arXiv underscores the platform's role in disseminating innovative research and fostering collaborative development in the AI community.