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Most people overlook these basics of AI Agents. I've explained it in a very simple way below. 1. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 An AI system that observes its environment, information, makes decisions, and takes actions to achieve a goal. 2. 𝗟𝗟𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀) The language models which are the agent’s brain. It understands language, thinks through problems, and generates responses. 3. 𝗟𝗥𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀) Models designed for deeper, step-by-step reasoning and complex decision-making. 4. 𝗧𝗼𝗼𝗹𝘀 Internal or external APIs an agent uses to perform actions like searching, calling tools, or updating systems. 5. 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 The space where an agent operates, including data, tools, users, and external systems. 6. 𝗦𝘁𝗮𝘁𝗲 The agent’s current situation, what it’s doing right now and what information it has. 7. 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 How an agent reads, interprets, and understands inputs from its environment. 8. 𝗔𝗰𝘁𝗶𝗼𝗻 Any step the agent takes such as replying to a user, calling a tool, or completing a task. 9. 𝗠𝗲𝗺𝗼𝗿𝘆 Storage used to retain context, past interactions, and useful information over time. 10. 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲 Extra information the agent can refer to, like documents, FAQs, or company data to generate accurate outputs. 11. 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 The agent decides what steps to take and in what order to finish a task. 12. 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 Managing how different components or agents work together from input to output. 13. 𝗧𝗵𝗶𝗻𝗸 → 𝗔𝗰𝘁 → 𝗖𝗵𝗲𝗰𝗸 (𝗥𝗲𝗔𝗰𝘁) The agent thinks, takes an action, checks the result, and then decides the next step. 14. 𝗖𝗼𝗧 (𝗖𝗵𝗮𝗶𝗻 𝗼𝗳 𝗧𝗵𝗼𝘂𝗴𝗵𝘁) Breaking down complex problems into logical, intermediate steps. 15. 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 The overall design that defines how an agent’s components connect and communicate including brain, memory, tools, and logic. 16. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 Measuring how well an agent performs, makes decisions, and achieves its objectives. 17. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺 Multiple agents working together in a shared environment, each handling part of the task. 18. 𝗦𝘄𝗮𝗿𝗺 Agents coordinate on their own and solve problems together without strict control. 19. 𝗛𝗮𝗻𝗱𝗼𝗳𝗳𝘀 Transferring tasks or responsibilities from one agent to another when needed. 20. 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝗯𝗮𝘁𝗲 Structured discussions between agents to compare ideas and improve outcomes. This is useful for anyone who wants to understand the very fundamentals of AI and AI agents. ✅ Repost for others who can benefit from this.