Inside Omnigent: Databricks' New Open-Source Meta-Harness Composing, Controlling, and Sharing AI Agents

Omnigent, released as an Apache 2.0 open-source project on June 13, 2026 , is not another coding agent. It is a "meta-harness" that sits above the agents you already use and provides them with a shared runtime layer for composition, control, and collaboration . You bring your own models, your own API keys, and your own infrastructure; Omnigent keeps your sessions and policies constant regardless of which agent is running underneath .

The Three Core Pillars of Omnigent

Omnigent's mission to end agent fragmentation is built on three foundational capabilities :

1. Composition
Omnigent allows developers to combine multiple agent harnesses and large language models without rewriting their entire workflow. This includes creating multi-agent teams where different harnesses handle different parts of a task, or even swapping one model for another mid-session and mid-loop with simple, one-line configuration changes .

2. Control
Without a shared layer, governance policies like spending limits or access rules must be re-implemented for every tool. Omnigent introduces stateful, data-centric policies and cost budgets that are enforced at the meta-harness level, ensuring that rules follow the work, not the specific tool being used .

3. Collaboration
Perhaps the most immediate benefit is the ability to share live agent sessions. A developer can start a complex task on a desktop terminal, pick up the exact same session on a phone, and share it with a teammate via a URL for real-time collaboration .

Getting Started: Licensing, Installation, and Repository

Omnigent is fully open-source and released under the permissive Apache 2.0 license . It is currently in an alpha state, meaning it is available for developers to use and contribute to, but may not yet be feature-complete or fully stable .

• License: Apache 2.0 .
• GitHub Repository: github.com/omnigent-ai/omnigent .
• Quickstart Installation: A quickstart guide is available at omnigent.ai/quickstart/install .
• Official Documentation: Full docs are hosted at omnigent.ai .

The project was introduced by Matei Zaharia, the original creator of Apache Spark, and was developed in collaboration with Neon .

Release Timing and Data + AI Summit 2026

Omnigent was open-sourced on June 13, 2026 , just two days before Databricks’ flagship Data + AI Summit 2026, which runs June 15–18 at the Moscone Center in San Francisco . This release cadence immediately makes Omnigent a key topic of discussion at the world's largest gathering of data and AI professionals.

Omnigent vs. Agent Bricks: Two Distinct Tools for Different Needs

A common point of confusion is how Omnigent relates to Databricks' enterprise platform, Agent Bricks. The short answer: they are complementary but target entirely different users and problems. Omnigent is a lightweight, decentralized developer tool for coordinating multiple third-party agents. Agent Bricks is a centralized, governed enterprise platform for building and deploying agents directly on business data.

In essence, Omnigent solves the problem of orchestrating the external AI tools a developer already uses, while Agent Bricks solves the problem of building and governing AI agents for business applications in a secure, governed manner .

Agent Bricks is an end-to-end solution designed to move AI agents from pilots to production. It leverages the Mosaic AI research engine to automate agent creation, evaluation, and optimization, all while maintaining enterprise-grade governance through Unity Catalog . Omnigent, meanwhile, is the portable, bring-your-own-keys layer that ensures a developer’s context and policies are no longer held hostage by whichever coding assistant is trendy this month.