The text discusses the use of Agno, a lightweight framework, and Clarifai's GPT-OSS 120B, an open-source large language model, to create intelligent agents capable of reasoning, searching, and collaborating beyond simple chat functions. It presents a tutorial with three examples that progressively build more complex agents: a web-search agent that answers questions about current events, a knowledge-based agent that accesses domain-specific information, and a multi-agent system where specialized agents work together. The tutorial includes instructions for setting up the environment, utilizing a Clarifai Personal Access Token, and employing various libraries for functionalities like web search and PDF processing. The examples illustrate how to combine language understanding with live data, use proprietary data effectively, and orchestrate multiple agents for complex tasks, emphasizing customization based on specific needs and objectives. The Clarifai Reasoning Engine is highlighted for its computational efficiency, supporting the demanding workloads of agentic AI workflows, as demonstrated by independent benchmarks of the GPT-OSS-120B model.