Research
Lyzr Cognis: Unified Agent Memory with Dual-Store BM25+Vector Retrieval and Temporal Boosting
Production-oriented memory architecture combining OpenSearch BM25 keyword matching with Matryoshka vector similarity search, fused via Reciprocal Rank Fusion. Context-aware ingestion retrieves existing memories before extraction for intelligent version tracking. Temporal boosting enhances time-sensitive queries. Addresses the practical problem of memory staleness and deduplication in long-running agents.
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