LightMem and MemOS

These two tools are competitors, with MemTensor/MemOS focusing on a more comprehensive, persistent skill memory operating system for LLM and agent systems, while LightMem aims for a lightweight and efficient memory-augmented generation approach, likely a more focused component rather than an entire OS.

LightMem
67
Established
MemOS
66
Established
Maintenance 17/25
Adoption 10/25
Maturity 24/25
Community 16/25
Maintenance 22/25
Adoption 10/25
Maturity 15/25
Community 19/25
Stars: 677
Forks: 58
Downloads:
Commits (30d): 6
Language: Python
License: MIT
Stars: 6,790
Forks: 608
Downloads:
Commits (30d): 279
Language: Python
License: Apache-2.0
No Dependents
No Package No Dependents

About LightMem

zjunlp/LightMem

[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation

This is a lightweight and efficient memory management framework for Large Language Models (LLMs) and AI Agents. It helps these AI systems remember and use information over long interactions, overcoming the limitations of short-term memory. Developers building intelligent applications can use this to give their AI systems long-term memory capabilities.

AI development Large Language Models AI agents memory management application development

About MemOS

MemTensor/MemOS

AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.

This project helps AI developers build AI agents and large language models (LLMs) that can remember past interactions, skills, and knowledge over long periods. It provides a unified system for storing and retrieving diverse information like text, images, and tool usage history, allowing agents to learn from experience. AI developers can use this to create more personalized and effective AI assistants and automated systems.

AI agent development LLM application development AI memory management conversational AI knowledge management

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