Current AI, a non-profit backed by $400m in capital, has released a Gap Map—a structured index of 421 open-source AI products spanning models, tools, datasets, and hardware, organized across 14 categories. The underlying data has been released on GitHub under an MIT license, making it publicly accessible for exploration and analysis. This effort to map the open-source AI ecosystem may help businesses and developers identify available tools and understand where gaps remain.
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Current AI, a non-profit founded in February 2025 and backed by $400m in committed capital, released a Gap Map documenting the open-source AI ecosystem. The map details 421 products in depth—266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects from 228 organizations—organized across 14 categories and 3 stack layers. The underlying data (1,184 YAML files) was released under an MIT license on GitHub.
Why it matters
The Gap Map represents a structured effort to understand and catalog open-source AI infrastructure at a time when such systems are increasingly central to business strategy. By making the data publicly available and machine-readable, it enables developers and organizations to identify gaps in the ecosystem and understand what tools and models exist across different layers of the AI stack.
What to watch
The project also tracks 16,185 GitHub repositories as a public dataset. A remaining 24,400 artifacts in the open-source AI ecosystem remain uncategorized in the long tail, awaiting future research and citation.
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