The article introduces Agno, an open-source Python framework designed for creating lightweight AI agents and multi-agent systems, highlighting its model-agnostic capabilities, high performance, reasoning emphasis, and support for multi-modality and collaboration. It underscores the importance of integrating Agno with data retrieval tools to enhance AI agents' capabilities, especially in accessing live web data for real-time accuracy. The integration with Bright Data tools enables agents to perform live searches and scrape web content, addressing limitations of static pre-trained language models. The article provides a step-by-step guide on setting up an Agno agent with Bright Data tools and OpenAI's language model, detailing the configuration process and execution of real-time data retrieval tasks. It emphasizes the potential for further enhancements, such as adding long-term memory and reasoning capabilities, and suggests exploring Agno's documentation for advanced integrations. The article concludes by encouraging users to experiment with these tools to build more sophisticated AI agents.