A Machine With Human-Like Memory Systems.
Project description
humemai
This repo hosts a package humemai
, a human-like memory systems that are modeled with
knowledge knoweldge graphs (KGs). At the moment they are nothing but a Python list of
RDF quadruples, but soon it'll be a better object type so that they can be compatible
with graph databases, e.g., RDFLib, GraphDB, Neo4j, etc. Making it compatible with
RDFLib is top priority and it'll come with v2. There have been both academic
papers and
applications that have used this package.
List of academic papers that use HumemAI
- "A Machine With Human-Like Memory Systems".
- "A Machine with Short-Term, Episodic, and Semantic Memory Systems".
List of applications that use HumemAI
pdoc documentation
Click on this link to see the HTML rendered docstrings
Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Run
make test && make style && make quality
in the root repo directory, to ensure code quality. - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
License
Project details
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