sinanuozdemir/oreilly-ai-agents
An introduction to the world of AI Agents
Covers practical implementations across CrewAI, LangChain, AutoGen, and LangGraph with hands-on notebooks demonstrating ReAct agents, multi-agent systems, and modern paradigms like Plan & Execute and Reflection patterns. Includes evaluation frameworks for assessing agent performance and tool selection bias, plus examples integrating Model Context Protocol (MCP) for standardized tool access and computer use automation with vision models.
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