Context-Aware Agent
Domain: Agent Architectures
🎯 Motivation
The agent considers context - who the user is, what they asked before, what tools are available - when deciding actions.
📋 Concrete Example
Context: user is 14 years old, asked 3 Python questions today, prefers short answers. Agent adapts: gives brief, Python-specific, teen-friendly answers. Context shapes every decision.
🔗 Analogy
A tour guide who reads their group - families with kids get fun, simple tours. Adult history buffs get detailed, academic tours. Context-aware agents adapt to their user and situation.