Essential open-source libraries and frameworks that power modern AI engineering and development. From deep learning frameworks to agent orchestration tools.
Open source machine learning framework that accelerates the path from research prototyping to production deployment.
Most popular research-focused ML framework
High-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs).
Fastest LLM inference engine available
Framework that enables development of LLM applications using multiple agents that can converse with each other.
Leading multi-agent conversation framework
Library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows.
Build complex LLM-powered applications
State-of-the-art machine learning for PyTorch, TensorFlow, and JAX with thousands of pretrained models.
Most comprehensive transformer model library
Framework for developing applications powered by large language models with memory, context, and tool usage.
Popular framework for LLM application development
Get up and running with large language models locally. Run Llama 2, Mistral, and other models with ease.
Simplest way to run LLMs locally
Framework for orchestrating role-playing, autonomous AI agents. Foster collaborative intelligence.
Revolutionary approach to AI agent collaboration
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production.
Essential tool for document data extraction
These projects represent the cutting edge of AI engineering. Star them, contribute, and stay updated with the latest developments.