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This article discusses the integration of Engram, a memory product built on Weaviate's vector search technology, into Claude Code. It explores the challenges and improvements in memory recall, particularly how Engram captures contextual details that MEMORY.md cannot, ultimately enhancing workflow efficiency.
- Engram is largely ignored by Claude unless given explicit triggers for when to save and recall memory, requiring deliberate workflow restructuring rather than passive integration
- Shorter, more focused memory saves improved retrieval speed and efficiency compared to longer entries
- Over two weeks of testing, Engram noticeably improved "decision archaeology" (recalling reasoning behind past choices) but failed to help during planning sessions
- The integration added roughly 10% overhead/slowdown to sessions despite its benefits