Contextual Policies in Omnigent: Using session state to better govern AI agents

Databricks introduced Omnigent, an open source meta-harness for AI agents that uses session state to apply contextual policies. This approach improves governance and control over AI agent behavior during interactions. It enables more precise and adaptive management of AI agents in various applications.

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PublishedMonday, July 6, 2026 at 7:42 PMJul 6, 07:42 PM

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Story ID#4834

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Business briefing

A structured operator read: what happened, why it matters, who is affected, and what to watch next.

What happened

Databricks introduced Omnigent, an open source meta-harness for AI agents that uses session state to apply contextual policies. This approach improves governance and control over AI agent behavior during interactions. It enables more precise and adaptive management of AI agents in various applications.

Why it matters

Better governance of AI agents is crucial for safe and effective deployment.

Business impact

Organizations can implement more reliable and compliant AI agent workflows.

Who is affected

Teams tracking AI Agents, Agents, product strategy, operations, and market positioning.

Operator take

Teams using AI agents should consider adopting Omnigent for improved policy control.

What to watch next

Teams using AI agents should consider adopting Omnigent for improved policy control.

Confidence levelLow

Sources

Databricks Blog AI BriefWire editorial record

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We r

• Omnigent introduces contextual policies for AI agents: Policies that can track what an agent session has done so far to evaluate whether the next action should proceed.

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