Omnigent AI
Omnigent is a meta-harness that orchestrates, governs, and shares AI agents (such as Claude Code, Codex, and Cursor) through a unified interface with real-time collaboration and security policies.
At a Glance
- Enterprise Software Teams
- AI Developers
- Data Engineering Teams
AI Tools by Omnigent AI
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Omnigent
Open Source AI Agent Orchestrator
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Latest News
Databricks Open-Sources Omnigent: A Meta-Harness for AI Agents
Matei Zaharia Announces Omnigent at Data + AI World Tour in NYC
Databricks Completes $5 Billion Funding Round at $134 Billion Valuation
Databricks Surpasses $4.8B Revenue Run Rate, Growing 55% YoY
Products & Services
An open-source meta-harness for orchestrating, governing, and sharing AI agents.
A fully managed cloud service on Databricks for enterprise-grade agent orchestration and governance.
Market Position
Unlike individual agents (e.g. Claude Code) or low-level frameworks (e.g. LangChain), Omnigent acts as a 'meta' layer for orchestration and team collaboration, focusing on governance and the user interface rather than model execution.
Leadership
Founders
Matei Zaharia
CTO and Co-founder of Databricks. Professor at UC Berkeley. Creator of Apache Spark and MLflow.
Ali Ghodsi
CEO and Co-founder of Databricks. Professor at UC Berkeley. Known for work on Apache Spark and Mesos.
Denny Lee
Engineering and Developer Advocacy at Databricks. Key contributor to open-source data projects.
Kasey Uhlenhuth
Product Management leader at Databricks focusing on AI and developer tools.
Executive Team
Ali Ghodsi
CEO
Co-founder of Databricks, leading the company through its expansion into AI and Lakehouse architecture.
Matei Zaharia
CTO
Visionary behind Databricks' open-source strategy and lead on the Omnigent project.
Board of Directors
Founding Story
Omnigent was born from internal needs at Databricks and Neon. Engineers were manually combining multiple AI agents into workflows but lacked a standardized layer for governance, security policies, and team collaboration. Matei Zaharia and the Databricks AI team built Omnigent to solve these gaps.
Business Model
Revenue Model
Open core model. The core framework is open-source, while managed enterprise features and infrastructure are sold as part of the Databricks platform (SaaS/DBU model).
Pricing Tiers
Apache 2.0 licensed, self-hosted version available on GitHub.
Integrated into Databricks platform pricing (DBUs).
Target Markets
- Enterprise Software Teams
- AI Developers
- Data Engineering Teams
- Multi-agent coding workflows
- Collaborative AI-assisted development
- Governance and auditability for enterprise AI usage
- Cross-platform agent orchestration
- Databricks internal teams
- Neon
- Early adopters in the open-source community