To put it simply, when starting with AI agents, it's better not to start with "complex frameworks," but rather with understanding what exactly the agent should do: respond, search, perform actions, or manage a process. Then the basic path is usually as follows: Python or JS (to understand the logic) Working with the LLM API (OpenAI / Anthropic, etc.) Simple binding: memory + tools + triggers Then orchestration (LangChain / LlamaIndex or similar) But honestly, there's a quicker entry point now—through ready-made platforms, where you don't have to build everything yourself right away. For example, you can play around with Atomic Chat — it's easy to build chat agents there and understand the logic of "how it should work" without writing heavy code. It's a good starting point, so you don't get bogged down in architecture right away.