Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents

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Researchers have developed a persistent discovery context that allows AI agents to remember which data objects were relevant to past tasks. Instead of starting every search from scratch, the system reuses successful intent-to-object mappings to improve future retrieval. This memory layer proved more effective than standard metadata search, especially in complex data environments where search terms are sparse.