Papr Memory

Predictive memory layer for AI agents with sub-100ms on-device retrieval.

PlatformWebfreemiumglobal

Papr Memory is a predictive memory layer for AI agents, combining MongoDB, Qdrant, and Neo4j with multi-tier caching, custom schema support, and a GraphQL API, reporting 91% accuracy on the Stanford STARK benchmark and sub-100ms on-device retrieval. It's aimed at developers building AI agents who need fast, accurate long-term memory without assembling that multi-database infrastructure themselves.

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