BAI-LAB/MemoryOS
MemoryOS provides a hierarchical memory management system for personalized AI agents with storage, retrieval, and generation modules.
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MemoryOS is a memory operating system designed for personalized AI agents, drawing inspiration from OS memory management principles. It implements a hierarchical storage architecture with four core modules: Storage, Updating, Retrieval, and Generation. The system enables more coherent, personalized, and context-aware interactions by managing long-term memory for language models, and supports retrieval-augmented generation for improved agent performance.
Frequently asked
- What is BAI-LAB/MemoryOS?
- MemoryOS provides a hierarchical memory management system for personalized AI agents with storage, retrieval, and generation modules.
- Is MemoryOS open source?
- Yes — BAI-LAB/MemoryOS is open source, released under the Apache-2.0 license.
- What language is MemoryOS written in?
- BAI-LAB/MemoryOS is primarily written in Python.
- How popular is MemoryOS?
- BAI-LAB/MemoryOS has 1.5k stars on GitHub.
- Where can I find MemoryOS?
- BAI-LAB/MemoryOS is on GitHub at https://github.com/BAI-LAB/MemoryOS.