TeleMem provides an agent memory infrastructure layer that enables conversational AI systems to maintain long-term information across multi-turn interactions. It offers semantic deduplication to avoid storing redundant memories and includes context-aware enhancement mechanisms for improved retrieval accuracy. The system functions as a direct replacement for Mem0, allowing existing applications to migrate with minimal code changes while gaining performance optimizations and enhanced character modeling capabilities.