Tensorus: The Agentic Tensor Database

Welcome to Tensorus – a groundbreaking open source project that reimagines database technology using advanced tensor mathematics and agentic behaviors. Tensorus is designed to handle complex, multi-dimensional data in innovative ways, empowering developers and researchers to build intelligent, scalable, and high-performance applications.

Overview

Tensorus is built on the idea of an agentic tensor database—one that not only stores data but also actively manages and transforms it using intelligent, autonomous mechanisms. Our mission is to offer an open, collaborative platform where the brightest minds in the community can redefine what a database can be. Whether you’re a developer, researcher, or enthusiast in the field of data science and machine learning, Tensorus invites you to join us on this innovative journey.

Key Features

• Agentic Data Management: Dynamic data handling that adapts to evolving workloads.
• Tensor-Based Storage: Native support for multi-dimensional data structures for complex datasets.
• High Performance & Scalability: Optimized for both small-scale experiments and large, enterprise-level deployments.
• Modular Architecture: Easily extendable components to integrate with popular data science and machine learning frameworks.
• Open Source & Community-Driven: Built by developers, for developers – with transparent roadmaps, active discussions, and collaborative decision-making.

Architecture

Tensorus is designed with modularity and extensibility in mind:

• Core Engine: Manages tensor computations, indexing, and dynamic updates.
• Data Layer: Optimized storage mechanisms tailored for multi-dimensional arrays and complex queries.
• Agent Module: Autonomous routines that help optimize query performance and data organization.
• API & Integrations: RESTful and language-specific bindings for seamless integration with external tools and frameworks.

A high-level diagram and more detailed documentation are available in the docs/ folder.

Getting Started

To start working with Tensorus on your local machine:

Clone the Repository:

git clone https://github.com/tensorus/tensorus.git
cd tensorus

For further details, please see our Developer Documentation.

Contribution Guidelines

We welcome contributions from developers of all backgrounds. Here’s how you can help shape Tensorus:

• Issues & Feature Requests: Use our Issue Tracker to report bugs, request features, or suggest improvements.
• Pull Requests: Fork the repository, make your changes, and open a pull request. Be sure to follow our coding standards and include tests for new features or fixes.
• Discussions: Join our community discussions on GitHub Discussions or our dedicated Slack/Discord channels. Your input is vital to the project’s evolution.
• Documentation: Contributions to documentation are as valuable as code. Help us keep our guides and API references up to date.

For detailed instructions, please refer to CONTRIBUTING.md.

Community & Code of Conduct

We believe that a welcoming and inclusive community is key to Tensorus’ success. All contributors are expected to adhere to our Code of Conduct, which outlines our expectations for respectful and productive collaboration.

We host regular community meetings and maintain active communication channels—your voice matters in shaping the future of Tensorus.

Let’s build the future of intelligent databases together!

License

Tensorus is distributed under the MIT License. We encourage you to read the full license for details on how you can use, modify, and distribute our work.

Together, we can redefine AI database technology. Welcome to the Tensorus community!