EverMemOS is an open-source ‘memory operating system’ from EverMind that adds structured long-term memory to AI agents. It enables LLM-based assistants to remember past interactions, build user profiles, and reason with context rather than treating each prompt as new. With a four-layer architecture, it mirrors human cognition for enhanced memory and retrieval.
Platforms:
Four-Layer Memory Design separates agent behavior, storage, indexing, and integration for a shared memory backbone
Structured MemCells convert conversations into queryable memory units with episodes, profiles, and semantic knowledge
Hybrid Retrieval using BM25, vector retrieval, and LLM-guided methods for relevant recall without unnecessary context
Living Profiles provide continuously updated user preferences and habits for personalized interactions
Benchmark-Driven Evaluation with state-of-the-art scores on LoCoMo and LongMemEval-S shows strong memory reasoning
