6 boosters for "multimodal" — AI-graded, open source, ready to install
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
VT.ai provides Copilot-specific coding instructions for a multimodal AI chat application, establishing standards for Python development including naming conventions, style guides, and testing practices. Developers building AI-powered features with language models will benefit from these standardized guidelines.
A comprehensive schema for representing multimodal structural biology imaging data.
lucid-toolkit enables developers to quickly reference official Claude Cookbook examples and implementation patterns for common tasks like tool use, agents, and multimodal processing. It's ideal for developers building with Claude who need practical, production-ready code samples.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
Pinocchio 是一个具备“持续自我学习与自我改进能力”的多模态智能体系统。
