Linux Foundation Announces OpenSharing Project to Standardize AI Asset and Data Exchange
Linux Foundation Announces OpenSharing Project to Standardize AI Asset and Data Exchange
Publish Date: 2026-06-10 10:58:00
Source Domain: www.linuxfoundation.org
New protocol enables secure, open sharing of Agent Skills, AI models, and data across platforms
Summary
- The Linux Foundation launched the OpenSharing Project, an open, vendor-neutral protocol for sharing AI assets and data across organizations and platforms.
- Contributed by Databricks, OpenSharing enables the exchange of agent skills, AI models, and unstructured data through a common standard.
- The project eliminates reliance on proprietary marketplaces and custom integrations, allowing organizations to securely share AI resources across ecosystems using a single open protocol.
- OpenSharing expands interoperability across data platforms by supporting multiple open table formats, including Delta Sharing and Apache Iceberg recipients, reducing fragmentation and increasing portability.
- Hosted by the Linux Foundation, OpenSharing provides community-governed infrastructure designed to accelerate AI collaboration, interoperability and enterprise adoption at scale.
SAN FRANCISCO, June 10, 2026 – The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the launch of the OpenSharing Project, an open, vendor-neutral protocol designed to standardize how organizations share AI assets and data. Hosted by the Linux Foundation and contributed by Databricks, OpenSharing evolves the widely adopted Delta Sharing protocol to meet the requirements of the agentic era, providing the first unified framework for exchanging agent skills, AI models, and unstructured data volumes across disparate platforms.
As enterprises accelerate the deployment of agentic AI, the lack of a standardized exchange protocol has forced organizations to rely on point-to-point integrations or proprietary marketplaces. OpenSharing eliminates these silos by enabling secure, cross-organizational sharing through a single, open protocol. By abstracting underlying storage complexities, the project allows enterprises to publish AI assets and data…
