1 link tagged with all of: context-engine + redis-iris + data-retrieval + caching
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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.