BAI-LAB / MemoryOS
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
Why this job: topics: rag, retrieval-augmented-generation
What it does
- TOP Performance in Memory Management
- Plug-and-Play Memory Management Architecture
- Agent Workflow Create with Ease (MemoryOS-MCP)
Get started
pip install memoryos-pro -i https://pypi.org/simple You need: Python >= 3.10; conda create -n MemoryOS python=3.10; conda activate MemoryOS
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,622
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- V1.2
- Released 15 months ago
- Built with
- Python
- 89% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 67% closed
- 15 still open
- Pull requests
- 14 merged
- 8 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 89%
- HTML 11%
- Shell <1%
- Dockerfile <1%
Topics
- agent
- language-model
- llm
- long-term-memory
- operating-system
- personalization
- rag
- retrieval-augmented-generation
Project record
- JobRAG and search
- StatusListed
- Commits272
- Forks170
- Watching11
- Stars in 28 days+25
- CreatedMay 30, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026