2026-07-03 22:04 UTCOriginal source2 min readUpdated: 2026-07-03 22:33 UTC

Open Source AI Gap Map

Current AI, a nonprofit launched at the AI Action Summit in Paris in February 2025 with $400M in committed capital, has published the Open Source AI Gap Map v0.1. It details 421 products (266 software tools, 85 models, 50 datasets, 20 hardware projects) from 228 organizations, organized into 14 categories across three layers. The underlying data, including 1,184 YAML files, is released under MIT license on GitHub and can be explored via Datasette Lite.

SourceSimon Willison's Weblog

Simon Willison’s Weblog

3rd July 2026 - Link Blog

Open Source AI Gap Map. Current AI is "a global partnership building a public option for AI", founded as a non-profit at the AI Action Summit in Paris in February 2025 and backed by serious capital ($400m already committed).

They launched their Gap Map a couple of days ago - an attempt at indexing the current state of open source AI:

The Gap Map v0.1 details 421 products in depth: 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects, produced by 228 organizations. These products are organized into 14 categories across 3 layers of the stack (model components, product / UX, and infrastructure). The remaining 24,400 artifacts constitute the uncategorized long tail of the open source AI ecosystem, and will carry no score until they are researched and cited.

The map itself is interesting to explore, but I'm more excited about the underlying data - released under an MIT license in the currentai-org/os-ai-map GitHub account: 1,184 YAML files plus the notebooks, schemas and other scripts used to help gather them.

Since the files are on GitHub you can use Datasette Lite to explore some of them - here are 16,185 GitHub repos the project is tracking as a CSV file loaded into Datasette Lite.