Current AI把开源AI资源整理成了地图，421个产品和上万仓库全公开，想找开源模型或工具可以拿这个当目录，省得自己瞎搜。
Current AI成立于2025年2月巴黎AI行动峰会，已承诺4亿美元资金，近日发布Gap Map v0.1，深度索引421个产品（266个软件工具、85个模型、50个数据集、20个硬件项目），来自228个组织，按14个类别组织。底层数据以1,184个YAML文件形式在GitHub上以MIT许可证开源，另有16,185个GitHub仓库被追踪，可通过Datasette Lite探索。
Open Source AI Gap Map
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. Tags: open-source , ai , datasette-lite , generative-ai , local-llms , llms