The missing context layer for AI-assisted development teams. A high-performance Rust rewrite of Context Hub with team-first capabilities. 27x faster builds, 26ms cold start, and seamless MCP integration with Claude Code, Cursor, and Windsurf.

Effortless AI-powered data labeling tool with support for Segment Anything and YOLO models. Features automated annotation, offline capabilities, and seamless integration with computer vision workflows. Perfect for object detection, segmentation, and classification tasks.

Simple, smart, and secure AI model training platform. No-code solution for computer vision with automated annotation, private offline training, and support for classification, detection, and segmentation. Streamline your entire ML workflow from labeling to deployment.

Privacy-first AI desktop assistant powered by Llama 3.2 and DeepSeek R1. Features voice recognition, multimodal support, RAG knowledge base, wake word detection ("Hey Llama!"), screen capture OCR, and completely offline operation. Your data never leaves your device.

Integrate AI into your project with DaisyKit - an easy-to-use AI toolkit that requires no neural network knowledge. Get started with AI applications in just minutes using Python. Perfect for developers who want to quickly add computer vision and ML capabilities to their projects.

Revolutionary AI-powered language learning platform combining vocabulary building, pronunciation practice, and interactive role-playing scenarios. Personalized learning paths with AI tutors that adapt to your pace and learning style. Master new languages through conversation and immersive experiences.