Agent Architecture — Free AI Agents Tutorial
Learn Agent Architecture in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Agent Architecture in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Agent Architecture in AI Agents
Agent architecture describes how an agent's components are organized. Common architectures include reactive (stimulus-response), deliberative (planning-based), and hybrid (combines both). Reactive agents are fast but rigid. Deliberative agents can handle complex goals but may be slow.
A reactive architecture for a spam filter: Email arrives → Check rules → Mark as spam/legit. Deliberative: Email arrives → Analyze sender, content, context → Make nuanced decision → Update spam model.
Modern Indian ed-tech platforms use hybrid agents: quickly respond to user input (reactive) while also analyzing learning patterns (deliberative) to personalize content.
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