What Is a Meta-Harness for AI Agents? Omnigent explained @Databricks
What Is a Meta-Harness for AI Agents? Omnigent explained  @Databricks
Uploaded July 2026 | Updated September 2026, 2 weeks ago
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: github.com/omnigent-ai/omnigent
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What Is a Meta-Harness for AI Agents? Omnigent explained

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