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Strands Agents memory: how to add long-term memory to a Strands agent (MemoryManager, stores and per-user recall)
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Strands Agents memory: how to add long-term memory to a Strands agent (MemoryManager, stores and per-user recall)

DEV Community: aws·Mohammed Rafay·5 days ago
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Disclosure: I'm Mohammed, founder of MemorySync. I drafted this with AI assistance and checked it against the Strands Agents docs and MemorySync's Strands guide. Code status: on Oct 25, 2026 I installed strands-agents 1.62.0 and strands-memorysync 1.1.0 on Python 3.13 and ran every import and constructor below (agent, MemoryManager, TestMemoryStore, MemorySyncStore with InvocationTrigger, get_tools() ). I also ran one agent(...) turn end to end with a scripted stand-in model and MemorySync's HTTP responses mocked locally, to see what the store sends and what reaches the model. No live LLM or live MemorySync API call was made.

By default a Strands agent starts each conversation from zero.…

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