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Agno is a lightweight library for building Reasoning Agents with memory, knowledge, tools and native multi-modal support.
Agno AI is revolutionizing autonomous AI agents by blending simplicity, speed, and versatility into a uniquely powerful framework. Its lightweight, open-source architecture empowers developers to build multimodal agents capable of dynamic reasoning, collaboration, and problem-solving—far surpassing traditional chatbots or rigid scripted systems. What makes Agno truly exceptional is its performance: it reportedly instantiates agents 10,000x faster than LangGraph while using 50x less memory, making it perfect for scalable, high-demand applications. The framework’s model-agnostic design ensures maximum flexibility, seamlessly integrating OpenAI, Claude, and custom LLMs without vendor lock-in (OpenRouter being an excellent choice for model access). With features like Agentic RAG, multi-agent teams, and built-in debugging tools, Agno takes AI development to the next level. Developers can effortlessly create specialized agents for finance, research, customer support, and more—then orchestrate them into efficient workflows with minimal boilerplate code. Native support for text, audio, images, and video further unlocks groundbreaking multimodal applications. Agno AI is not just another framework—it’s a paradigm shift in how businesses deploy AI. Whether for enterprise automation, real-time analytics, or intelligent assistants, Agno is setting a new standard. For anyone serious about the future of AI agents, Agno isn’t just worth exploring—it’s the smart bet.
Really great, lightweight design and performance. I'll be contributing to the open source soon enough.
