EverMemOS introduces a four-layer architecture, analogous to key functional regions of the brain:
· Agentic Layer — Handles task understanding, decomposition, and generation; analogous to the prefrontal cortex, responsible for attention, planning, and executive control.
· Memory Layer — Manages structured storage and retrieval of long-term memory, analogous to cortical networks responsible for long-term consolidation.
· Index Layer — Enables associative and efficient retrieval through embeddings, key–value pairs, and knowledge graphs; inspired by the hippocampus.
· API / MCP Interface Layer — Seamlessly integrates with enterprise applications, serving as the AI’s “sensory interface” with the external world.
Three Core System Innovations
- From Memory Database to Memory Processor
The first innovation of EverMemOS is its paradigm shift — it’s not just a memory “database” but a memory application processor. It addresses the core limitation of current methods — they “retrieve” but do not “apply.” Through unique reasoning and fusion mechanisms, EverMemOS allows memory to actively and continuously influence the model’s thinking and responses, ensuring every AI output reflects a long-term understanding of the user — delivering truly coherent and personalized interactions.
- Hierarchical Memory Extraction and Dynamic Organization
At the core of EverMemOS lies its hierarchical memory extraction mechanism. Instead of treating memory as unstructured text chunks, it extracts continuous semantic blocks into contextual MemUnits, dynamically organizing them into structured memory graphs. This layered organization links related memories, overcoming the limitations of pure text similarity retrieval and providing a robust foundation for downstream applications.
- The First Extensible Modular Memory Framework
Real-world applications vary widely in their memory requirements. EverMemOS introduces an extensible memory framework that adapts to diverse scenarios — from high-precision, structured information in professional tasks to empathetic and emotionally intelligent memory in companion AI. This adaptability enables EverMemOS to intelligently select optimal memory organization and application strategies, solving the long-standing problem of rigid and single-form memory systems.
