Awesome Open Source AI

Core libraries and frameworks used to build, train, and run AI and machine learning systems.

Canonical model-family repositories with useful code, recipes, evaluation tools, or engineering context. This is not a complete model leaderboard; use Hugging Face and model hubs for up-to-date weight discovery.

Inference runtimes, serving systems, and optimization tools for running models locally or in production.

Frameworks and platforms for building agent-based systems and multi-agent workflows.

Retrieval systems, vector databases, embedding models, and related tooling for RAG pipelines.

Open-source models and applications for image, video, audio, and 3D generation and editing.

Tools for model training, fine-tuning, synthetic data generation, and distributed training.

Tooling for tracking, deploying, monitoring, and operating AI systems in production.