AI RESEARCH
Cognis: Context-Aware Memory for Conversational AI Agents
arXiv CS.CL
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ArXi:2604.19771v1 Announce Type: new LLM agents lack persistent memory, causing conversations to reset each session and preventing personalization over time. We present Lyzr Cognis, a unified memory architecture for conversational AI agents that addresses this limitation through a multi-stage retrieval pipeline. Cognis combines a dual- backend pairing OpenSearch BM25 keyword matching with Matryoshka vector similarity search, fused via Reciprocal Rank Fusion.