Databricks Contributes OpenSharing Protocol to Linux Foundation to Standardize AI Asset Exchange
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data... The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premi...
Published byEdited with DeepSeek-V4-ProImages generated with GPT Image 1.5
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data...
The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premises storage partners like MinIO and Qumulo.
Early backers include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, signaling broad industry demand for a single, secure framework for AI collaboration.
What did the Linux Foundation announce on Wednesday regarding an open protocol for AI data sharing, who contributed it, what problem does itThe Linux Foundation's OpenSharing Project aims to standardize how organizations securely share AI models, agent skills, and data across platforms.
AI Prompt
Create a landscape editorial hero image for this Studio Global article: What did the Linux Foundation announce on Wednesday regarding an open protocol for AI data sharing, who contributed it, what problem does it. Article summary: On Wednesday, June 10, 2026, the Linux Foundation announced the **OpenSharing Project**, an open, vendor-neutral protocol for sharing AI assets and data across organizations and platforms [1]. It was contributed by **Dat. Topic tags: general, general web, user generated. Reference image context from search candidates: Reference image 1: visual subject "# Anthropic Donates Model Context Protocol to Linux Foundation Under New Agentic AI Initiative. Anthropic is transferring ownership of the Model Context Protocol to the Linux Found" source context "Anthropic Donates Model Context Protocol to Linux Foundation Under New Agentic AI Initiative | Claude | Create With"
openai.com
On June 10, 2026, the Linux Foundation introduced the OpenSharing Project, an open, vendor-neutral protocol designed to standardize the exchange of AI assets and data across organizations and platforms . Contributed by Databricks, the protocol represents a significant step toward breaking down the silos that have made cross-organizational AI collaboration cumbersome and insecure.
What Problem Does OpenSharing Solve?
Before OpenSharing, enterprises lacked a standardized exchange protocol for AI assets. Teams were forced to choose between proprietary marketplaces, which locked them into specific vendor ecosystems, and fragile point-to-point integrations that required custom engineering for every new partner. OpenSharing eliminates these barriers by providing a single, secure protocol that allows organizations to share agent skills, AI models, and unstructured data across different platforms without vendor lock-in .
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What is the short answer to "Databricks Contributes OpenSharing Protocol to Linux Foundation to Standardize AI Asset Exchange"?
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data...
What are the key points to validate first?
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data... The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premises storage partners like MinIO and Qumulo.
What should I do next in practice?
Early backers include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, signaling broad industry demand for a single, secure framework for AI collaboration.
Databricks Contributes OpenSharing Protocol to Linux Foundation to Standardize AI Asset Exchange
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data... The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premi...
Published byEdited with DeepSeek-V4-ProImages generated with GPT Image 1.5
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data...
The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premises storage partners like MinIO and Qumulo.
Early backers include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, signaling broad industry demand for a single, secure framework for AI collaboration.
What did the Linux Foundation announce on Wednesday regarding an open protocol for AI data sharing, who contributed it, what problem does itThe Linux Foundation's OpenSharing Project aims to standardize how organizations securely share AI models, agent skills, and data across platforms.
AI Prompt
Create a landscape editorial hero image for this Studio Global article: What did the Linux Foundation announce on Wednesday regarding an open protocol for AI data sharing, who contributed it, what problem does it. Article summary: On Wednesday, June 10, 2026, the Linux Foundation announced the **OpenSharing Project**, an open, vendor-neutral protocol for sharing AI assets and data across organizations and platforms [1]. It was contributed by **Dat. Topic tags: general, general web, user generated. Reference image context from search candidates: Reference image 1: visual subject "# Anthropic Donates Model Context Protocol to Linux Foundation Under New Agentic AI Initiative. Anthropic is transferring ownership of the Model Context Protocol to the Linux Found" source context "Anthropic Donates Model Context Protocol to Linux Foundation Under New Agentic AI Initiative | Claude | Create With"
openai.com
On June 10, 2026, the Linux Foundation introduced the OpenSharing Project, an open, vendor-neutral protocol designed to standardize the exchange of AI assets and data across organizations and platforms . Contributed by Databricks, the protocol represents a significant step toward breaking down the silos that have made cross-organizational AI collaboration cumbersome and insecure.
What Problem Does OpenSharing Solve?
Before OpenSharing, enterprises lacked a standardized exchange protocol for AI assets. Teams were forced to choose between proprietary marketplaces, which locked them into specific vendor ecosystems, and fragile point-to-point integrations that required custom engineering for every new partner. OpenSharing eliminates these barriers by providing a single, secure protocol that allows organizations to share agent skills, AI models, and unstructured data across different platforms without vendor lock-in .
Studio Global AI
Continue your research
This page includes a source-backed answer you can continue inside Studio Global.
What is the short answer to "Databricks Contributes OpenSharing Protocol to Linux Foundation to Standardize AI Asset Exchange"?
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data...
What are the key points to validate first?
The Linux Foundation's OpenSharing Project, announced June 10, 2026, is an open protocol contributed by Databricks to standardize how organizations share AI assets—including agent skills, models, and unstructured data... The protocol evolves from Delta Sharing and adds support for Apache Iceberg clients and on premises storage partners like MinIO and Qumulo.
What should I do next in practice?
Early backers include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, signaling broad industry demand for a single, secure framework for AI collaboration.
OpenSharing builds directly on the widely adopted Delta Sharing protocol, also created by Databricks . Delta Sharing already enabled organizations to securely share live data from Delta Lake and other sources without copying it. OpenSharing extends this foundation to a broader class of AI assets, making it a natural upgrade path for the many enterprises already invested in the Delta ecosystem.
New Capabilities
OpenSharing introduces several important capabilities beyond the original Delta Sharing specification:
Apache Iceberg Client Support: The protocol now supports Apache Iceberg IRC clients, significantly broadening cross-platform interoperability and making it easier for organizations that have standardized on Iceberg to participate in shared AI workflows .
On‑Premises Storage Integrations: Initial integrations with on-premises storage partners MinIO and Qumulo allow organizations to keep data within their own infrastructure while still participating in the open sharing ecosystem. The Linux Foundation and Databricks have indicated that additional storage partners are expected to join soon .
Unified Exchange Framework: Rather than treating AI models, data, and agent skills as separate problems, OpenSharing provides a single framework for exchanging all three asset types, reducing integration complexity .
Who Is Backing the Project?
The project has attracted a broad coalition of enterprise and AI leaders. Backing organizations include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, among others . This mix of established enterprise software companies, financial infrastructure providers, and frontier AI labs suggests that OpenSharing is addressing a genuinely cross-industry need.
Where Is OpenSharing Available Now?
OpenSharing is hosted at opensharing.io under the governance of the Linux Foundation . This neutral governance structure is critical for fostering trust among competitors and ensuring the protocol evolves in the interests of the broader community rather than a single vendor.
The Bigger Picture
OpenSharing arrives at a moment when the AI industry is grappling with fragmentation at multiple layers—from agent communication protocols to model licensing. The Linux Foundation has been active on several related fronts, including earlier work on the Agentic AI Foundation (AAIF), which provides a neutral home for projects like Anthropic’s Model Context Protocol (MCP), and the Agent2Agent (A2A) protocol for agent communication. OpenSharing complements these efforts by focusing specifically on the data and asset layer that powers AI workloads.
The protocol’s emphasis on on-premises storage support also signals an understanding that many regulated industries will need to keep sensitive data within their own boundaries even as they collaborate on AI. By securing commitments from MinIO, Qumulo, and the promise of more on-premises partners, the project is positioning itself for adoption in finance, healthcare, and other sectors with strict data sovereignty requirements.
OpenSharing builds directly on the widely adopted Delta Sharing protocol, also created by Databricks . Delta Sharing already enabled organizations to securely share live data from Delta Lake and other sources without copying it. OpenSharing extends this foundation to a broader class of AI assets, making it a natural upgrade path for the many enterprises already invested in the Delta ecosystem.
New Capabilities
OpenSharing introduces several important capabilities beyond the original Delta Sharing specification:
Apache Iceberg Client Support: The protocol now supports Apache Iceberg IRC clients, significantly broadening cross-platform interoperability and making it easier for organizations that have standardized on Iceberg to participate in shared AI workflows .
On‑Premises Storage Integrations: Initial integrations with on-premises storage partners MinIO and Qumulo allow organizations to keep data within their own infrastructure while still participating in the open sharing ecosystem. The Linux Foundation and Databricks have indicated that additional storage partners are expected to join soon .
Unified Exchange Framework: Rather than treating AI models, data, and agent skills as separate problems, OpenSharing provides a single framework for exchanging all three asset types, reducing integration complexity .
Who Is Backing the Project?
The project has attracted a broad coalition of enterprise and AI leaders. Backing organizations include Amadeus, Atlassian, LSEG, SAP, Stripe, and OpenAI, among others . This mix of established enterprise software companies, financial infrastructure providers, and frontier AI labs suggests that OpenSharing is addressing a genuinely cross-industry need.
Where Is OpenSharing Available Now?
OpenSharing is hosted at opensharing.io under the governance of the Linux Foundation . This neutral governance structure is critical for fostering trust among competitors and ensuring the protocol evolves in the interests of the broader community rather than a single vendor.
The Bigger Picture
OpenSharing arrives at a moment when the AI industry is grappling with fragmentation at multiple layers—from agent communication protocols to model licensing. The Linux Foundation has been active on several related fronts, including earlier work on the Agentic AI Foundation (AAIF), which provides a neutral home for projects like Anthropic’s Model Context Protocol (MCP), and the Agent2Agent (A2A) protocol for agent communication. OpenSharing complements these efforts by focusing specifically on the data and asset layer that powers AI workloads.
The protocol’s emphasis on on-premises storage support also signals an understanding that many regulated industries will need to keep sensitive data within their own boundaries even as they collaborate on AI. By securing commitments from MinIO, Qumulo, and the promise of more on-premises partners, the project is positioning itself for adoption in finance, healthcare, and other sectors with strict data sovereignty requirements.
