Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents

Memanto introduces a universal memory layer for autonomous AI agents, addressing the architectural bottleneck of memory in persistent, multi-session systems. It challenges the necessity of complex knowledge graphs by proposing a simpler typed semantic memory schema with automated conflict resolution and temporal versioning.