Agile V unifies Agile and V-Model practices into a verifiable framework for AI-augmented engineering. It addresses common AI agent failure modes such as orphaned code, silent assumptions, self-grading bias, and deployment disasters through formal traceability, autonomous quality gates, and structured risk levels (L0-L4). The open standard includes a skills library, agent behaviors, and compliance mappings for ISO 9001, 27001, and GxP, enabling reliable shipping of software, firmware, and hardware.
In the AI & ML space, Agile V™ takes a focused approach. AI coding agents producing untraceable, hallucinated, or non-compliant code without formal engineering oversight. Agile V™ is an open-source project aimed at software engineers and regulated industry developers. Agile V™ is open source under the CC-BY-SA-4.0 license. It ships for the web and the command line, and it can be self-hosted.
It is developed by Agile V, and it first shipped in 2026. The project is developed in the open on GitHub with 50 stars and 85 commits in the last 90 days. Among its 5 catalogued features are Formal Traceability, Autonomous Quality Gates, and Risk Level Assessment.
Summary written by a language model from the project’s public pages.
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