Metadata-Version: 2.1
Name: swarms-memory
Version: 0.0.1
Summary: Swarms Memory - Pytorch
Home-page: https://github.com/kyegomez/swarms-memory
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.10,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT 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 :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: swarms
Project-URL: Documentation, https://github.com/kyegomez/swarms-memory
Project-URL: Repository, https://github.com/kyegomez/swarms-memory
Description-Content-Type: text/markdown

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)


# Swarms Memory
A collection of memory systems for `swarms` such as Pinecone, ChromaDB, Weaviate

## Install
```bash
$ pip install swarms-memory
```


## Usage

# License
MIT


# Citation
Please cite Swarms in your paper or your project if you found it beneficial in any way! Appreciate you.

```bibtex
@misc{swarms,
  author = {Gomez, Kye},
  title = {{Swarms: The Multi-Agent Collaboration Framework}},
  howpublished = {\url{https://github.com/kyegomez/swarms}},
  year = {2023},
  note = {Accessed: Date}
}
```


