This is the third installment in our Agentic AI series, following Google’s Introduction to Agents and Agent Tools & MCP. While those papers covered agent architecture and tool integration, this one focuses on how agents manage context across conversations through sessions and memory.
Source: Context Engineering: Sessions & Memory (PDF) by Kimberly Milam and Antonio Gulli, Google (November 2025)
A stateless agent treats every interaction as its first - no memory of previous conversations, no awareness of ongoing tasks, no accumulated context. While this works for simple Q&A, real-world applications demand more. In this post, I’ll explore how to give agents memory through state management, enabling them to maintain context across interactions and handle complex multi-step workflows.
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