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MemTensor/MemOS

MemOS is an AI memory operating system designed for LLMs and AI agents, providing persistent, context-aware, and multi-modal memory for enhanced skill reuse and evolution across tasks.

Core Features

Unified Memory API for managing memory as an inspectable graph.

Native support for multi-modal memory including text, images, tools, and personas.

Multi-Cube Knowledge Base management for isolation and composability.

Flexible deployment with both hosted Cloud and 100% on-device Local options.

Significant improvements in accuracy, long-term memory, and token efficiency.

Quick Start

pip install MemoryOS

Detailed Introduction

MemOS is a pioneering Memory Operating System for Large Language Models and AI agents, addressing the critical need for persistent, evolving, and context-aware memory. It unifies memory operations (store, retrieve, manage) through a graph-structured API, supporting diverse data types like text, images, and tool traces. With options for cloud-hosted or fully on-device deployment, MemOS enables advanced capabilities such as cross-task skill reuse, multi-agent collaboration, and personalized interactions, while significantly boosting performance metrics like accuracy and token efficiency.