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Paper · arXiv

Agents for Everyone: A Workshop Framework for Building Agentic AI Capabilities in a Distributed Curation Community

Agentic AI has the potential to accelerate curation of biological databases and knowledge bases. However, uptake has been hindered by a number of challenges and obstacles, including access to agents and appropriate training. Here we describe how we have attempted to address and mitigate these challenges and obstacles through the deployment of a cloud-based agentic environment, and the development of an interactive training workshop for the Gene Ontology Consortium. Our cloud environment for agentic-assisted curation was based on the JupyterHub platform, and utilized Claude Code as a universal harness. This allows curators to interact with an agent session through a terminal running in the...

AuthorsSeth Carbon, Sierra Moxon, Kimberly Van Auken et al.
Primary categorycs.AI
Published27 August 2026
Last updated at source27 August 2026
cs.AI
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