AI agent architecture explained: the 7 modules from perception to observability
ZabihullahAtal · x · 2026-10-06
A widely shared explainer breaks AI agent architecture into 7 parts: perception (taking in requests, files, events, API data), reasoning (the LLM deciding next steps), planning (splitting goals into tasks), memory (context and retrieval), tools (APIs, search, code, databases), guardrails (permissions and human approval), and observability (tracking decisions, errors, cost, performance) — illustrated with a customer-support agent example.
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