Databricks just made a play to become the operating system for enterprise AI agents. At its Data + AI Summit 2026, held June 15 to 18 at San Francisco’s Moscone Center, the company rolled out two products that aim to solve problems the data industry has been tripping over for decades: how to govern autonomous AI agents across an enterprise, and how to stop copying the same data into seventeen different databases just to run different workloads.
The two headliners are Omnigent, an open-source governance harness for AI agents, and LTAP, short for Lake Transactional/Analytical Processing, a new architecture that unifies transactional and analytical workloads on a single governed copy of data. Around 30,000 attendees from 174 countries were there for the reveal.
Omnigent: a universal remote for AI agents
Omnigent is a meta-layer that sits on top of whatever agent framework a company is already using. It doesn’t replace those frameworks. It wraps around them, enforcing policies, enabling interoperability between different models, and allowing live sessions to be shared across agents.
Databricks open-sourced Omnigent under the Apache 2.0 license on or around June 13, 2026, a couple of days before the summit officially kicked off. The managed beta is already available on the Databricks platform for customers who want the hosted version with enterprise support baked in.
