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About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_choudhary

An AI-native design team for VS Code — one orchestrator routes your requests to specialist agents (UX, UI, research, content) that collaborate autonomously. Design Lead reviews every output and drives next steps until the project is complete. Memory persists decisions across sessions. Just talk t... Read more

Laravel Jarvis is a starter project made with Laravel Jetstream Inertia Vue and add more additional feature like User, Role & Permission management, Responsive design, Light/Dark Mode, Rich Table with many features. And for react typescript version https://breact.erikwibowo.com

Jarvis v13 is a Python-based personal assistant powered by Gemini, designed to automate tasks, answer queries, and assist with creative content generation.

Jarvis is an AI-powered virtual assistant designed to automate tasks, enhance productivity, and provide intelligent responses. Built with cutting-edge technologies, it integrates NLP, voice recognition, and automation to deliver seamless user interactions.

A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/

[Repo Admin: Adam Jarvis] --- A collection of vendor-specific configuration templates (Configlets) for extending Apstra's automated fabric management beyond its standard reference design. The repository includes vendor-organized templates for easy deployment

Jarvis is an Iron Man inspired Artificially Intelligent program, designed to reduce your stress immediately by talking to it.

JARVIS is a cutting-edge voice assistant that combines the power of multiple AI models with advanced web technologies. Built for modern browsers, it offers an intuitive voice-controlled interface with professional-grade features including real-time markdown rendering, multi-language support, and ... Read more

JARVIS is an AI Engineering Copilot designed to help engineers move from idea to structured execution through intelligent system thinking, automation, and technical reasoning.