Databricks Omnigent puts a meta-harness above enterprise agents

As enterprises deploy more agents, the bottleneck moves from individual agent capability to composition and control. In a June 29 X post, Databricks described Omnigent as an open meta-harness that sits above agents and turns them into interoperable parts of a larger system.

"Omnigent provides a common interface to compose multiple agents, enforce advanced policies, and collaborate in real-time across your team."

Databricks said co-founder and CTO Matei Zaharia introduced Omnigent at Data + AI Summit. The linked blog frames the project around combining, controlling, and sharing agents. That makes the target different from a single smarter chatbot. Omnigent is about the operating layer that lets teams assemble multiple agents, set rules over them, and reuse them across a shared enterprise environment.

The account usually posts Databricks product, research, and summit material, so the context matters. Databricks has spent years connecting data engineering, governance, MLflow, Mosaic AI, and the lakehouse platform. A meta-harness fits that strategy: agents need access to enterprise data, but they also need policy boundaries, auditability, and collaboration patterns before they can be trusted in production workflows.

What to watch next is how open Omnigent is in practice. The important details will be its license, runtime assumptions, support for non-Databricks agents, and the depth of its policy controls. If it works across common agent frameworks, it could become a management plane for enterprise agent fleets rather than another isolated orchestration demo.