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The 4 Components Every AI Agent Needs (And How to Get Them Right)
How-ToProgramming Languages

The 4 Components Every AI Agent Needs (And How to Get Them Right)

via Dev.to PythonDiven Rastdus3h ago

Every production AI agent, regardless of framework or language, shares the same structure. It has a brain that reasons, memory that persists state, tools that act on the world, and a planning mechanism that decides what to do next. These are not optional components that some agents have and others skip. They are the defining structure of what makes something an agent rather than a chatbot. Before you write a line of agent code, understanding all four will determine whether your system is fast or slow, expensive or cheap, reliable or brittle. Frameworks come and go. This structure does not. The Agent Loop Before examining each component, look at the structure that connects them: Perceive -> Reason -> Act -> Observe -> Repeat The agent receives input from its environment. It reasons about what to do. It calls a tool. It observes the result. It reasons again with the new information. It repeats this until it achieves its goal or hits a stop condition. This maps onto the OODA loop from mil

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