OQP – A verification protocol for AI agents
As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard. It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET /context/workflows — what are the business rules for this workflow? - POST /verification/execute — run a verification workflow - POST /verification/assess-risk — what is the risk of this change? The analogy we keep coming back to: what OpenAPI did for REST APIs,…
OQP – A verification protocol for AI agents launched on April 13, 2026 with 8 votes, #1,409 of 21,248 launches that month and more than 75% of that year's launches.
What it does
The open standard for agentic software verification: query business rules, assess release risk, and execute autonomous testing workflows. - OrangeproAI/open-qa-protocol
The Open QA Protocol (OQP) is an open standard designed to facilitate agentic software verification. It provides a common language for coding agents, CI/CD pipelines, and human developers to query semantic business rules, assess release risk, and execute autonomous testing workflows against a centralized Knowledge Graph. In the era of agentic software development, the bottleneck is no longer writing code—it is verifying that the code satisfies business requirements. Traditional UI-driven testing tools and monolithic dashboards are incompatible with autonomous agents. OQP solves this by defining a standardized set of API primitives that allow any agent (e.g., Cursor, Claude Code, GitHub…from github.com
In the maker’s words, at launch
As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard. It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET…
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