Building personalized AI agents requires separating reasoning from execution and treating memory as a first-class system component. The architecture uses three layers: Agent Development Kit (ADK) for orchestration, Model Context Protocol (MCP) for tool boundaries, and structured long-term memory for preferences. Key patterns
•13m read time• From freecodecamp.org
Table of contents
Why Personalization Breaks Most AI AgentsTable of ContentsPrerequisitesWhat “Personalized” Means in a Real AI AgentHow the Agent Architecture Fits TogetherHow to Design the Agent Core with ADKHow to Connect Tools Safely with MCPHow to Add Long-Term Memory Without Polluting ContextHow the End-to-End Agent Flow WorksCommon Pitfalls You’ll Hit (and How to Avoid Them)What You Learned and Where to Go NextSort: