aiming-lab/SimpleMem
SimpleMem offers an efficient, lifelong, and multimodal memory solution for LLM agents, featuring semantic lossless compression for diverse data types.
Core Features
Detailed Introduction
SimpleMem is an innovative open-source project designed to provide robust and efficient lifelong memory capabilities for large language model (LLM) agents. It addresses the critical challenge of managing and retrieving vast amounts of information by employing semantic lossless compression, ensuring data integrity while optimizing storage. With comprehensive multimodal support, SimpleMem can store, compress, and retrieve memories across text, images, audio, and video, making LLM agents more capable and context-aware across various applications. Its broad compatibility with platforms like Claude, Cursor, and LM Studio, alongside Python integration, positions it as a versatile tool for enhancing AI agent performance.