Databricks Open-Sources Omnigent Meta-Harness for AI Agent Composition

Jun 14, 2026

Databricks has open-sourced Omnigent, an Apache 2.0 "meta-harness" for composing and governing AI agents. The tool provides a unified interface for agents like Claude Code, Codex, and Pi, making them swappable. Key features include stateful control policies for cost and security, and real-time collaboration via shared sessions. Example agents like Polly, a coding orchestrator, demonstrate its capabilities.

Omnigent meta-harness release

▪Roadmap items for Omnigent, such as the Omnigent Server MCP, are not yet shipped.
▪The Omnigent project is released under the Apache 2.0 license and is currently in an alpha stage.
▪Databricks has released Omnigent, an open-source "meta-harness" for AI agents.

Architecture with runner server

▪Omnigent's architecture consists of a "runner" that wraps agents in a sandboxed session and a "server" that provides policies and sharing.
▪An OS sandbox called Omnibox is used to lock down OS access and can keep secrets like GitHub tokens hidden from the agent.
▪The Omnigent server exposes each session through the terminal, an app, and web APIs, including a local web UI at localhost:6767.

Composition across multiple harnesses

▪The "composition" feature allows combining different models and harnesses, and switching between agents with one-line code changes.
▪Omnigent provides a common interface for agents like Claude Code, Codex, and Pi, making them swappable components.

Control through stateful policies

▪Example policies can pause an agent after it exceeds a cost budget or require human approval for a 'git push' command after an npm install.
▪Omnigent's "control" feature uses stateful, contextual policies to enforce guardrails at the meta-harness layer, not through prompts.

Collaboration via shared sessions

▪In a shared session, teammates can co-drive the agent, comment on files, or fork the conversation.
▪The "collaboration" feature allows users to share live agent sessions via a URL for real-time viewing and interaction.

Example agents Polly Debby

▪Another example agent, Debby, is a brainstorming tool that uses both Claude and GPT models, showing their answers side-by-side.
▪The Polly agent plans tasks, delegates work to sub-agents, and routes code for review by an agent from a different vendor.
▪Omnigent ships with an example agent named Polly, which acts as a multi-agent coding orchestrator.