OpenBox provides a trust platform for agentic AI, delivering runtime governance, cryptographic verification, and enterprise-grade compliance. Integrates via a single SDK with LangChain, LangGraph, Temporal, n8n, Mastra, and more. Available to every organization with no usage limits.

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Super excited to see OpenBox live. Would really appreciate any thoughts and feedback.

The scale at which AI agents are being deployed today makes this the right moment for OpenBox. Runtime governance, cryptographic verification, enterprise-grade compliance - available to every organisation, from day one. Proud to be part of this.

congratulations on the launch👍

Thanks a lot, @inderpreet_singh1 . Really appreciate the support!

This is a problem that does not get enough attention yet. Everyone is focused on making agents more capable, but the question of "how do you prove they acted within policy" is going to matter a lot more as agents start touching real workflows at scale.

The cryptographic verification angle is interesting. Most governance approaches I have seen are audit logs after the fact. Proving compliance at the point of execution is a different thing entirely.

Question: how does OpenBox handle governance for agents that are pulling context from multiple systems with different access policies? For example, an agent that reads from both a public knowledge base and a restricted HR system in the same workflow. Does the governance layer enforce per-source permissions, or is it more at the action level?