Databricks

Omnigent: Databricks Open Sources an AI Agent Meta-Harness

Omnigent: Databricks Open Sources an AI Agent Meta-Harness

AI, Application Development, Cloud, DevOps, Machine Learning /

Databricks has released Omnigent, an open source meta-harness that sits above existing AI agent frameworks to enable composition, governance, and real-time collaboration across agents. The Apache 2.0 release targets a critical gap in enterprise agentic AI: each harness today is a silo with no shared control plane. ECI Research analysis examines what this means for IT decision-makers managing agent sprawl and developers building multi-harness workflows.

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Databricks Data + AI Summit 2026: Unity AI Gateway and the Enterprise AI Governance Bet

Databricks Data + AI Summit 2026: Unity AI Gateway and the Enterprise AI Governance Bet

AI, Application Development, Cloud, Databricks Builder 2026, Events, FinOps, Machine Learning /

Databricks used its Data + AI Summit 2026 keynote to announce Unity AI Gateway, LTAP, Lakehouse//RT, Genie One, and CustomerLake. ECI Research analyzes what these announcements mean for enterprise AI governance, data architecture, and the competitive landscape across the platform market.

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Databricks OpenSharing: The Open AI Data Protocol Explained

Databricks OpenSharing: The Open AI Data Protocol Explained

AI, Application Development, Data Management, DevOps /

Databricks has announced OpenSharing, a Linux Foundation-hosted open protocol that extends Delta Sharing to cover agent skills, AI models, and unstructured data. The standard adds Apache Iceberg API support and on-premises connectivity through major storage partners. ECI Research breaks down what this means for enterprise IT buyers and the developers building on top of it.

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OpenSharing Project: Open Protocol for AI Asset Interoperability

OpenSharing Project: Open Protocol for AI Asset Interoperability

AI, Application Development, Infrastructure, Open Source /

The Linux Foundation has launched the OpenSharing Project, an open protocol for sharing AI models, agent skills, and data across organizational and platform boundaries. Contributed by Databricks and built on the Delta Sharing foundation, the project targets the fragmentation problem at the heart of enterprise agentic AI deployments. ECI Research analysts break down what this means for ITDMs evaluating AI platforms and developers building multi-agent systems.

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