From the source
At Databricks, we use and build agents extensively, from coding with them at scale to shipping agent products like Genie.
But even though the capabilities of agents have gotten much better, working with them feels clunky.
As users, we often have 4-5 agents open at once (coding agents, Gemini search, etc) and spend our time copy-pasting text between them and Docs, Slack, and other collaboration tools.
And as agent builders, we’re on a treadmill to improve our agents by combining the latest harnesses, SDKs and models.
The problem is that LLM capabilities are wrapped into an agent harness, and these harnesses have different interfaces that make combining them or swapping them difficult.
So we built Omnigent : a meta-harness that sits above the agents you already use (Claude Code, Codex, Pi, or custom agents) and makes them interoperable parts of a richer system.
Omnigent targets the problems where a single harness stops: it adds easy ways to compose multiple agents, control them with advanced policies, and collaborate live with teammates.
We believe people will soon work with agents through this new layer, the meta-harness .
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