Persistent Memory with Session Managers

Chapter 9 of the Building AI Agent Harnesses with Strands Agents course. Chapter 8 covered managing context within a session. This chapter covers what happens when the session ends and the user comes back. Without persistence, every conversation starts from zero. The agent has no memory of prior interactions, no accumulated knowledge about the user, no awareness of decisions made yesterday. Session managers handle the storage and retrieval of conversation state so continuity works automatically. This course teaches developers how to build AI agents and agent harnesses using the open-source Strands Agents SDK. The course starts by teaching what the difference between an agent and agent harness is, and progresses from fundamental concepts (the agent loop, model providers, tools) through intermediate patterns (hooks, plugins, steering, conversation management) to advanced multi-agent orchestration (agents-as-tools, graph workflows, agent swarms) and finally production operations (guardrails, observability, evaluation, cloud deployment). Reading: https://go.aws/3Tcc1Xj Github Repo: https://go.aws/4w0f5Vc Strands Agents SDK: https://go.aws/4aGsTeY Follow AWS Developers! 🆇 X: https://go.aws/4w3zkkY 💼 LinkedIn: https://go.aws/4vWmNQd #AWS #AgentHarness #StrandsAgents