Metadata-Version: 2.3
Name: MemoryOS
Version: 0.0.1
Summary: Empowering language models with memory.
License: Apache-2.0
Keywords: memory,llm,language model,memoryOS,agent
Author: MemoryTensor
Author-email: lizy@memtensor.cn
Requires-Python: >=3.10,<4.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: chonkie (>=1.0.7,<2.0.0)
Requires-Dist: markitdown[docx,pdf,pptx,xls,xlsx] (>=0.1.1,<0.2.0)
Requires-Dist: ollama (>=0.4.8,<0.5.0)
Requires-Dist: openai (>=1.77.0,<2.0.0)
Requires-Dist: pre-commit (>=4.2.0,<5.0.0)
Requires-Dist: pytest (>=8.3.5,<9.0.0)
Requires-Dist: qdrant-client (>=1.14.2,<2.0.0)
Requires-Dist: ruff (>=0.11.8,<0.12.0)
Requires-Dist: transformers (>=4.51.3,<5.0.0)
Project-URL: Repository, https://github.com/MemTensor/MemOS
Description-Content-Type: text/markdown

# MemOS

Empowering language models with memory.

## Install

```bash
pip install MemoryOS
```

To use MemOS with Ollama, install the [Ollama CLI](https://ollama.com/download):

```bash
curl -fsSL https://ollama.com/install.sh | sh
```

If you need transformers, ensure [PyTorch](https://pytorch.org/get-started/locally/) is installed in your environment.

## Contributing

Please read [contribution guidelines](.github/CONTRIBUTING.md) before contributing.

## Acknowledgments

This project references the structure, code, and prompt from [mem0](https://github.com/mem0ai/mem0.git).

