Awesome Open Source AI
A curated, regularly updated list of open-source AI models, libraries, infrastructure and developer tools, organized into categories such as core frameworks, inference engines, agents, retrieval-augmented generation, and MLOps.
Awesome Open Source AI is a curated list of open-source projects for people building with AI. It organizes entries into fourteen sections, including core frameworks and libraries, model codebases, inference engines, agentic and multi-agent systems, retrieval-augmented generation, generative media tools, training and fine-tuning, MLOps, evaluation and benchmarks, AI safety and alignment, specialized domains, self-hosted platforms, developer tools and integrations, and learning resources.
Entries are chosen for usefulness, maintenance quality, documentation and importance to a part of the AI ecosystem rather than for popularity alone, and each one includes a short note on what it does.