OpenBox: Runtime governance and compliance for AI agents

OpenBox launched on April 1, 2026, with a runtime governance platform for AI agents. The product integrates via a single SDK with LangChain, LangGraph, Temporal, n8n, and Mastra, and logs every agent action with cryptographic verification, risk scoring, and audit trails. Organizations can enforce policies, manage agent identities using decentralized identifiers, and configure per-tenant rules and usage quotas without rebuilding existing infrastructure. The free tier has no usage limits.

The problem OpenBox addresses is becoming visible across teams shipping agents to production: what agents actually do, whether it can be audited, and whether it can be blocked or reversed have become compliance and risk-management questions rather than engineering afterthoughts. Most teams currently handle these concerns with custom logging and fragile ad-hoc guardrails.

For product managers working on AI-agentic products, OpenBox signals a category that will likely appear in enterprise procurement checklists within the next year or two. Security and compliance teams at large organizations already ask about audit trails and access controls for traditional software. Agents that take actions on behalf of users trigger the same questions with higher stakes and faster timelines. The ability to answer those questions concretely — with policy logs, identity management, and risk scores — moves from a desirable property to a pre-condition for enterprise deals.

The free tier with unlimited usage suggests OpenBox is optimizing for adoption first, likely ahead of a paid tier aimed at teams with formal compliance requirements.