Pure C/C++ LLM inference library — run quantized models on CPU, Metal, CUDA and more.

High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.

Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.

The Natural Language Toolkit — Python's foundational NLP library for tokenization, POS tagging, parsing, and corpora.

State-of-the-art sentence and text embeddings — compute semantic similarity, clustering, and dense retrieval.

Hugging Face's state-of-the-art library for diffusion-based image, video, and audio generation models.

End-to-end ML lifecycle platform — experiment tracking, model registry, serving, and LLM evaluation.

Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.

Conversational AI coding agent that builds entire codebases from natural-language specs with one prompt.

Low-code visual builder for LLM-powered agents and multi-step AI workflows with 100+ pre-built components.

Fast, memory-mapped dataset library for NLP and ML — 50,000+ datasets, streaming, and Arrow-backed processing.

ML experiment tracking and visualization — log metrics, hyperparameters, models, and media in real time.

Official GitHub MCP server — give your AI agent full read/write access to repos, issues, PRs, and actions.

Fast and flexible image augmentation library with 70+ transforms for computer vision model training.

Distributed Python framework for scaling ML workloads — training, serving, hyperparameter tuning, and pipelines.

Official TypeScript/JavaScript SDK for building MCP servers and clients — the Node.js foundation for the Model Context Protocol.

Ultra-fast tokenizer library (Rust core) — BPE, WordPiece, SentencePiece — tokenize GBs in seconds.

Open-source AI software engineering agent that writes, edits, runs, and tests code autonomously in a sandboxed environment.

Run powerful open-source LLMs locally — privacy-first desktop app and Python SDK, no internet required.

The world's most popular computer vision library with Python bindings — image processing, video, and ML pipelines.

The largest collection of pretrained image models for PyTorch — ViT, ConvNeXt, EfficientNet, Swin, and 900+ more.

High-performance, model-agnostic Python framework for building, running, and managing production AI agents at scale.

Drop a screenshot or Figma design and get clean HTML/Tailwind/React/Vue code generated by GPT-4o or Claude.

In-process OLAP SQL database that runs inside your Python, R, or Node.js process — no server required.