ai agent architecture
5 articles · 15 co-occurring · 0 contradictions · 0 briefs
Shows how to structure agent infrastructure to reliably access diverse tools and data sources
Shows how to structure agent infrastructure to reliably access diverse tools and data sources
Frames context engineering as foundational layer for AI agents performing tasks. Agents need context engineering more than chatbots because tasks require reliable information availability.
Context engineering presented as foundational component of agent design, not optional optimization
Identifies the API/MCP layer as a critical architectural decision point for agent systems, especially as agents gain autonomy and production access.
Papers listed cover agent architecture, but article doesn't connect this to context design patterns or memory management strategy
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