Open Source AI Gap Map

Current AI, a non-profit launched at the Paris AI Action Summit, has released the Open Source AI Gap Map v0.1. According to Simon Willison, the map catalogs 421 open-source AI products in depth—266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects—from 228 organizations. These are organized into 14 categories across three stack layers: model components, product/UX, and infrastructure. An additional 24,400 artifacts form an uncategorized long tail. The underlying data, published on GitHub under an MIT license, includes 1,184 YAML files and scripts. Willison highlights the data as more valuable than the map itself, noting it can be explored via Datasette Lite as a CSV of 16,185 tracked GitHub repos. For developers building AI workflows, this gap map offers a structured snapshot of the open-source ecosystem, revealing what exists and where gaps remain. It shifts focus from hype to a concrete inventory, enabling informed decisions about which tools, models, or datasets to adopt or contribute to.