Starred repositories
🔥 A collection of the newest Claude Code open source
Claude Code source code recovered from source map
Your favorite Terminal Coding Agent, now in Rust & a Breakdown of the Claude Code leak & discoveries
Production-grade multi-agent orchestration framework. Model-agnostic, supports team collaboration, task scheduling, and inter-agent communication.
Micromamba executables mirrored from conda-forge as Github releases
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Compare two WizTree CSV snapshots into a differential CSV that can be loaded back into WizTree
Krita is a free and open source cross-platform application that offers an end-to-end solution for creating digital art files from scratch built on the KDE and Qt frameworks.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Swift Package to implement a transformers-like API in Swift
State-of-the-Art Text Embeddings
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
A collection of 🤗 Transformers.js demos and example applications
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Reference PyTorch implementation and models for DINOv3
PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Build resilient language agents as graphs.
The agent engineering platform
Supercharge Your LLM Application Evaluations 🚀
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets