0:00 / 0:00

What Is a Meta-Harness for AI Agents? Omnigent explained

Name: What Is a Meta-Harness for AI Agents? Omnigent explained
Uploaded: 2026-07-06T14:31:23.649Z
Duration: 1 min 4 s
Channel: Databricks
Description: Databricks introduces Omnigent, a meta-harness for AI agent orchestration that combines multiple agents in a single workflow, manages policies and permissions centrally, and allows developers to easily swap models and harnesses.

Databricks6 July 2026Watch on YouTube

Part of series

Ep. 5 · Omnigent: AI Agent Orkestratie

Databricks introduceert Omnigent, het open-source meta-framework dat meerdere AI-agenten combineert in één gecontroleerde, interoperabele workflow.

View the series

Description

AI agents are getting more powerful, but the way we run them is still fragmented. Every agent has its own harness, context, permissions, interface, and workflow. That’s why Databricks introduced Omnigent: a new layer above individual agents and a meta-harness for agent orchestration. Instead of managing agents one by one, Omnigent gives you a common layer to compose, control, and collaborate across agents. With Omnigent, you can: • orchestrate multiple agents in one workflow • combine different harnesses without rewriting everything • build custom agents and swap models or harnesses with one-line changes • apply policies, permissions, sandboxing, and spend controls • collaborate on live agent sessions from terminal, browser, desktop, or phone The growth has been wild: Omnigent already has 6,300+ GitHub stars less than a month after launch. ⭐ GitHub repository: https://github.com/omnigent-ai/omnigent

What you'll learn

Omnigent is a meta-harness that orchestrates multiple AI agents in one workflow instead of managing them individually
You can combine different agent harnesses and swap models with a single line of code without rewriting everything
Omnigent provides centralized management of policies, permissions, sandboxing, and spend controls across all agents
The platform supports real-time collaboration on AI agent sessions via terminal, browser, desktop, or phone

Frequently asked questions

Why did Databricks develop Omnigent?

AI agents are becoming more powerful, but the way we run them remains fragmented. Each agent has its own harness, context, permissions, and workflow, making management inefficient.

What are the main benefits of a meta-harness?

A meta-harness provides a common layer to compose, control, and collaborate across agents. This eliminates the need to rewrite everything when combining different harnesses.

How do you manage permissions and costs with Omnigent?

Omnigent provides centralized management of policies, permissions, sandboxing, and spend controls, allowing you to easily apply security and budget restrictions across all agents at once.

Can you collaborate with multiple people on AI agent sessions simultaneously?

Yes, Omnigent supports real-time collaboration on live agent sessions via terminal, browser, desktop, or phone, enabling seamless teamwork.