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.
1,256 stars. Actively maintained with 4 commits in the last 30 days.
Stars
1,256
Forks
127
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Commits (30d)
4
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