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What I learned from looking at 900 most popular open source AI tools

huyenchip.com · 2,007 words · saved by 1 readers

Four years ago, I did an analysis of the open source ML ecosystem. Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models. The full list of open source AI repos is hosted at llama-police. The list is updated every 6 hours. You can also find most of them on my cool-llm-repos list on GitHub. Table of contents Data …. How to add missing repos The New AI Stack …. AI stack over time …….. Applications …….. AI engineering …….. Model development …….. Infrastructure Open source AI developers …. One-person billion-dollar companies? …. 1 million commits The growing China’s open source ecosystem Live fast, die young My personal favorite ideas Conclusion I searched GitHub using the keywords gpt, llm, and generative ai. If AI feels so overwhelming right now, it’s because it is. There are 118K results for gpt alone. To make my life easier, I limited my search to the repos with at least 500 stars. There were 590 results f

[ Hacker News discussion , LinkedIn discussion , Twitter thread ] Update (Feb 2026) : The full list of open source AI repos is hosted at Good AI List , updated daily. It’s balooned to 15K repos, and you can submit missing repos. You can also find some of them on my cool-llm-repos list on GitHub. Four years ago, I did an analysis of the open source ML ecosystem . Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models. Data I searched GitHub using the keywords gpt , llm , and generative ai . If AI feels so overwhelm

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