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The author recounts the pitfalls of building a custom context layer—handling memory, data retrieval, caching and permissions—only to face endless complexity. They found that Redis Iris bundles syncing, search, semantic caching and memory into a single context engine that sits close to the agent runtime.
context-engine
agent-memory
+ data-retrieval
+ caching
+ redis-iris
+ tldr-a-byte-sized-daily-tech-newsletter