/Tech5h ago

Omnigent Adds Contextual Policies And OS Sandbox For Secure AI Agents

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Original post

Omnigent can be run on your laptop or deployed to @Docker, @Railway and @flydotio, and can run agents in the cloud on @modal and @daytonaio. It works with any LLM provider too (coding agents' subscriptions, @OpenRouter, @databricks, etc).

Matei Zaharia@matei_zaharia

For security & cost control, Omnigent introduces a *contextual* policy model that can track session state (e.g. ask for permission to git push if an agent downloaded an untrusted npm package, or ask you after every $100 of spend) and a strong OS sandbox from our security team.

9:02 AM · Jun 13, 2026 · 2K Views

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Matei Zaharia@matei_zaharia

For collaboration, Omnigent adds a common UI above any agents, with native app, web and mobile UIs and live collaboration with teammates. No more copy-pasting text and screenshots between agents, Slack, and Docs all the time! You can even review code with the agent that wrote it.

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Matei Zaharia@matei_zaharia

There's a lot more coming, e.g. meta-optimization with @gepa_ai and programmatic tool calling as in RLM and MemEx. Read more in our blog: https://www.databricks.com/blog/introducing-omnigent-meta-harness-combine-control-and-share-your-agents or get started at https://omnigent.ai/

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