AI Agent Memory Management Framework
2.7k 2026-04-16

agentscope-ai/ReMe

ReMe is a memory management framework for AI agents, addressing limited context windows and stateless sessions by providing persistent, automatically refined memory.

Core Features

File-based memory system (ReMeLight) for human-readable and editable memory.
Vector-based memory system for semantic search and knowledge retrieval.
Automatic conversation compaction to overcome context window limitations.
Persistent storage of important information across sessions.
Automatic recall of relevant context for future interactions.

Quick Start

pip install reme-ai

Detailed Introduction

ReMe is an advanced memory management framework specifically designed for AI agents, tackling critical challenges such as limited context windows and stateless interactions. It offers both file-based and vector-based memory systems, enabling agents to retain long-term information, automatically compact conversations, and recall relevant context. This empowers AI agents with 'real memory,' leading to more consistent, personalized, and efficient performance across various applications like personal assistants, coding assistants, and customer service bots.

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