AI & ML
Agent memory as a moat: how context compounds
Redis Blog0 views
Base LLM inference is stateless. The model doesn't remember your last conversation, your users' preferences, or the mistake your agent made ten minutes ago. Unless the app supplies persisted context, everything gets discarded after each request. That ...
Source：https://redis.io/blog/compounding-context-memory-as-the-moat/PreviousFresh context: change data capture, not batch ETLNextVector embeddings & language: how models turn words into geometry
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