Inside AI Agents: How Memory and Planning Really Work

Most people see AI agents as fancy chatbots. The real magic is in the hidden architecture.

AI agents live inside ecosystems. They constantly interact with apps, APIs, data, sensors, and users. That real world loop is what lets them observe, decide, and act.

At the core is an LLM for language. Around it sits Memory, Control, and Planning. This system connects tools and workflows so the agent can do far more than chat.

Memory types like procedural, semantic, episodic, and working memory let agents learn, recall facts, track context, and respond in real time.

Planning turns intelligence into action. It lets agents break goals into steps, choose tools, and execute complex tasks.

Which layer will evolve fastest next, memory, reasoning, or planning?

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Видео Inside AI Agents: How Memory and Planning Really Work канала Shiva Tech Bytes