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Current AI Releases Open Source Gap Map

Current AI Releases Open Source Gap Map

Simon Willison
Saturday, July 4, 2026
  • •Current AI launched Gap Map v0.1 to index the open source AI landscape.
  • •The report details 421 products across 14 categories from 228 different organizations.
  • •Data is released under an MIT license, tracking 16,185 GitHub repositories via 1,184 YAML files.
  • •Current AI launched Gap Map v0.1 to index the open source AI landscape.
  • •The report details 421 products across 14 categories from 228 different organizations.
  • •Data is released under an MIT license, tracking 16,185 GitHub repositories via 1,184 YAML files.

Current AI, a non-profit organization established at the AI Action Summit in Paris in February 2025 with $400m in committed capital, released its Gap Map v0.1 on July 1, 2026. This project acts as an index for the current state of the open source AI ecosystem. The initial report provides in-depth analysis of 421 specific products, which include 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects developed by 228 distinct organizations.

These projects are classified into 14 categories spanning three layers of the technology stack: model components, product/UX, and infrastructure. Beyond these categorized items, the report notes an additional 24,400 artifacts representing the uncategorized long tail of open source AI. The project aims to track and score these resources over time through ongoing research and citation.

The underlying data is available under an MIT license via the currentai-org/os-ai-map repository on GitHub, containing 1,184 YAML (a human-readable data serialization language) files alongside various notebooks and schemas. This repository tracks 16,185 GitHub repositories in total. Users can currently explore this dataset using tools like Datasette Lite, which allows for querying and interacting with the tracked CSV records.

Current AI, a non-profit organization established at the AI Action Summit in Paris in February 2025 with $400m in committed capital, released its Gap Map v0.1 on July 1, 2026. This project acts as an index for the current state of the open source AI ecosystem. The initial report provides in-depth analysis of 421 specific products, which include 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects developed by 228 distinct organizations.

These projects are classified into 14 categories spanning three layers of the technology stack: model components, product/UX, and infrastructure. Beyond these categorized items, the report notes an additional 24,400 artifacts representing the uncategorized long tail of open source AI. The project aims to track and score these resources over time through ongoing research and citation.

The underlying data is available under an MIT license via the currentai-org/os-ai-map repository on GitHub, containing 1,184 YAML (a human-readable data serialization language) files alongside various notebooks and schemas. This repository tracks 16,185 GitHub repositories in total. Users can currently explore this dataset using tools like Datasette Lite, which allows for querying and interacting with the tracked CSV records.

Read original (English)·Jul 3, 2026
#open source#current ai#gap map#github#dataset