mem0 and MemoryOS
About mem0
mem0ai/mem0
Universal memory layer for AI Agents
Implements multi-level memory (user, session, agent state) with adaptive retrieval that achieves 26% higher accuracy and 90% lower token usage than baseline approaches. Supports multiple LLMs and vector stores, with SDKs for Python and JavaScript, plus integrations for LangGraph and CrewAI. Offers both self-hosted open-source deployment and a managed platform with CLI tooling for memory management operations.
About MemoryOS
BAI-LAB/MemoryOS
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
Implements a hierarchical memory architecture with four core modules (Storage, Updating, Retrieval, Generation) that manages short-term, mid-term, and long-term persona memory through dynamic updates and context-aware retrieval. Exposes memory capabilities via MCP Server with pluggable storage engines (including Chromadb vector database), multiple embedding models (BGE-M3, Qwen), and universal LLM support across OpenAI, Anthropic, Deepseek, and other providers for seamless agent integration.
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