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.
Hey Product Hunt, I'm Tahir, co-founder and CTO of OpenBox AI. Today we're thrilled to introduce OpenBox, the trust platform for agentic AI that makes enterprise grade governance available to everyone.
AI agents are now operating across workflows, systems, and organizations at scale. The question every team building with agents faces is the same:
How do you know what your agents are doing
How do you prove they acted within policy
How do you meet compliance requirements without rebuilding your entire stack
OpenBox answers that. It delivers runtime governance, cryptographic verification, and enterprise grade compliance at the point of execution, enforcing identity, authorization, policy, and risk across every agent action and cross system interaction.
OpenBox integrates via a single SDK with no architectural changes to your existing stack. It works natively with LangChain, LangGraph, Temporal, n8n, Mastra, and more.
You get:
Production grade SDK
Cryptographic audit trails
OPA based policy engine
Built in runtime guardrails
Dynamic risk scoring
Human in the loop controls
Full observability from day one
We built OpenBox on the belief that trust should be a right, not a privilege. Every organization deploying AI agents deserves the same governance and accountability infrastructure, whether they are a startup or a regulated enterprise.
That is why the core platform is available in production, with no usage limits and no credit card required.
Would love to hear from everyone building with AI agents today:
Hey Product Hunt, I'm Tahir, co-founder and CTO of OpenBox AI. Today we're thrilled to introduce OpenBox, the trust platform for agentic AI that makes enterprise grade governance available to everyone.
AI agents are now operating across workflows, systems, and organizations at scale. The question every team building with agents faces is the same:
How do you know what your agents are doing
How do you prove they acted within policy
How do you meet compliance requirements without rebuilding your entire stack
OpenBox answers that. It delivers runtime governance, cryptographic verification, and enterprise grade compliance at the point of execution, enforcing identity, authorization, policy, and risk across every agent action and cross system interaction.
OpenBox integrates via a single SDK with no architectural changes to your existing stack. It works natively with LangChain, LangGraph, Temporal, n8n, Mastra, and more.
You get:
Production grade SDK
Cryptographic audit trails
OPA based policy engine
Built in runtime guardrails
Dynamic risk scoring
Human in the loop controls
Full observability from day one
We built OpenBox on the belief that trust should be a right, not a privilege. Every organization deploying AI agents deserves the same governance and accountability infrastructure, whether they are a startup or a regulated enterprise.
That is why the core platform is available in production, with no usage limits and no credit card required.
Would love to hear from everyone building with AI agents today:
What are you building
How are you handling governance
What is missing in your stack
Happy to answer everything here 👇