Core Viewpoint - EverMind has launched EverMemOS, a world-class long-term memory operating system for AI agents, aiming to provide AI with a persistent, coherent, and evolving "soul" [1][4]. Group 1: Memory Capability - The limitation of fixed context windows in LLMs leads to frequent "amnesia" in AI during long-term tasks, resulting in memory breaks and factual inconsistencies, which diminishes the application value of AI [4]. - Long-term memory is becoming a core competitive advantage in AI applications, marking a shift from AI as a "tool" to an "agent" capable of proactive evolution [5]. Group 2: Industry Trends - Major industry players like Claude and ChatGPT have introduced long-term memory as a strategic feature, indicating a clear industry trend towards memory as a critical capability for future AI applications [5]. - Current attempts to address memory issues, such as RAG and emerging memory systems, are often fragmented, highlighting the need for a comprehensive, usable memory system that can support various scenarios [5]. Group 3: Inspiration and Design - EverMind's design of EverMemOS is inspired by human brain memory mechanisms, aiming to allow AI to think, remember, and grow like humans [7][14]. - The system's architecture is based on a four-layer design that parallels key functions of the human brain, enhancing its memory capabilities [19][22]. Group 4: Technical Performance - EverMemOS has achieved significant breakthroughs in both scene coverage and technical performance, being the first memory system to support both one-on-one conversations and complex multi-user collaboration [15]. - The system scored 92.3% and 82% on the LoCoMo and LongMemEval-S benchmarks, respectively, surpassing previous state-of-the-art levels [17]. Group 5: System Features - EverMemOS is not just a memory "database" but a "memory processor," addressing the core pain point of existing methods that only retrieve information without utilizing it effectively [23]. - The system features innovative "layered memory extraction" and dynamic organization, allowing for structured memory that captures implicit context [23][26]. - It introduces the first scalable modular memory framework, adaptable to various memory needs across different scenarios, ensuring optimal memory organization and application strategies [26]. Group 6: Open Source and Future Plans - EverMind has released an open-source version of EverMemOS on GitHub for developers and AI teams to deploy and test [28]. - A cloud service version is expected to be launched later this year, providing enhanced technical support and data persistence for enterprise users [28].