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Explore the Agno framework (formerly Phidata) in this 15-minute tutorial that demonstrates how to build multimodal agentic AI systems. Learn what sets Agno apart from other frameworks like LangChain, LangGraph, and CrewAI, focusing on its ability to create agents in microseconds with an incredibly lightweight footprint of just 6.5 KiB per agent. Discover how to construct multi-modal AI agents capable of processing text, images, audio, and video content. Compare Agno's capabilities with LangGraph through practical examples of building image and audio-based agents. Examine real-world applications including Healthcare Assistant and Audio Transcription Agent implementations. Access the accompanying GitHub repository with code examples and resources to follow along with the hands-on demonstrations of this efficient agentic AI framework.
