On August 27, 2025, at the Open Source Summit Europe, the LF Networking (LFN) community, part of the Linux Foundation, announced the release of Essedum 1.0.
Essedum is an open platform designed to integrate artificial intelligence tools into network applications. The project’s codebase was contributed to LFN by Infosys.
The inaugural release introduces capabilities for data integration, pipeline creation, model management, and deployment across both on-premises and cloud environments. The platform consolidates prior work from the LFN AI Task Force’s Data Sharing Platform and Thoth (Anuket) initiatives.
Key features of Essedum 1.0 include:
- Configurable system-to-system connections (Connections)
- Ingestion and handling of data from diverse sources (Datasets)
- Creation of training and inference pipelines (Pipelines)
- Model management across local and cloud platforms (Models)
- A unified endpoint interface (Endpoints)
- Streamlined integration with external services (Adapters)
- Remote execution of tasks on distributed servers (Remote Executor)
Future releases are expected to add automated deployment via Docker and Helm, support for PDF and Excel files, secure management of keys and sensitive data, enhanced access controls, and broader integration with additional cloud platforms. A detailed release description is available on the LFN website.
In collaboration with the University of New Hampshire (UNH), a dedicated Essedum testbed has also been prepared, offering the community an accessible environment to reproduce conditions and experiment with the platform.
