Hypha
Hypha is a generative AI-powered application framework designed for large-scale data management, AI model serving, and real-time communication. Hypha allows the creation of computational platforms consisting of both computational and user interface components.
Key Features
- Generative AI-Powered: Leverage the power of generative AI to build advanced data management and AI model serving solutions.
- Hypha-RPC: Utilize hypha-rpc, a bidirectional remote procedure call system, enabling seamless communication and integration across distributed components.
- Real-Time Communication: Support for real-time communication within virtual workspaces, similar to platforms like Zoom.
- Scalable and Flexible: Connect and orchestrate various compute services, AI models, tools, and services running on distributed locations.
- GenAI-Powered Automation: Build GenAI-powered automation platforms and agentic workflows, enabling fully autonomous agent systems.
How It Works
Hypha acts as a hub that connects different components through Hypha-RPC. Users and programmatic clients connect to the platform in virtual workspaces, where they can seamlessly make remote procedure calls (RPC) as if they are calling local functions. Developers can integrate all types of compute services, including AI models, tools, and services, across distributed locations.
Virtual Workspaces
- Hypha's virtual workspaces are akin to Zoom rooms, where clients (users and programmatic) can connect and interact.
- Within these workspaces, all clients can perform seamless RPCs, facilitating easy and efficient collaboration and computation.
Integration with Compute Services
- Hypha supports the integration of various compute services, including AI models and data analytics tools.
- These services, when connected to the platform, can be understood and orchestrated by large language models (LLMs), paving the way for creating next-generation GenAI-powered automation platforms and agentic workflows.
Use Cases
- Research Institutions: Build integrated platforms for data management and AI-powered services.
- AI-Powered Automation: Create autonomous agent systems and GenAI-powered automation platforms.
- Data Services: Facilitate scalable and efficient data services and analytics through distributed computing.
Getting Started
To get started with Hypha, follow the installation and setup instructions in the documentation.
License
Hypha is released under the MIT License. See the LICENSE file for more details.
Contributing
We welcome contributions from the community. Please see our Contributing Guidelines for more information.
Acknowledgments
We thank the contributors and community members who have helped make Hypha what it is today.
1 maintainer
Metadata
1 maintainer
Release files for hypha 0.20.38.post10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hypha-0.20.38.post10.tar.gz | 136.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hypha-0.20.38.post10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 298.1 kB
Release files / hypha-0.20.38.post10.tar.gz
| Download URL | hypha-0.20.38.post10.tar.gz |
|---|---|
| Size | 136.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d9c2b21491ae2bcaba06a08e1f5f2894a38e347597bee0f3c5fb2c50e80f944a
|
|
BLAKE2b-256 checksum How to use checksums |
9966b1bb297da9ebf35a3f92a81fcb81052bd4c9007efd761390a6b28abff410
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.7
|
Release files / hypha-0.20.38.post10-py3-none-any.whl
| Download URL | hypha-0.20.38.post10-py3-none-any.whl |
|---|---|
| Size | 161.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
39300ec542d46779f7f89361ef1fa85c7bb42a72ffdf357142a8d142ebf4c5bc
|
|
BLAKE2b-256 checksum How to use checksums |
f30ee2b6b1010eed1c505502af518c88caba8f4ec4df243049befebc7ab78f31
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.7
|
