ML Gatekeeper Uses Multi-Agent AI to Automate Model Deployment Governance in GitLab

A new open-source framework called ml-gatekeeper-multiagent replaces traditional static CI/CD checks with autonomous AI agents that evaluate machine learning models before deployment. The system uses three specialized agents: one validates performance metrics against historical baselines, another checks regulatory compliance and licensing, and a third synthesizes findings into a decision scorecard. Integrated directly into GitLab CI/CD pipelines via a .gitlab-ci.yml configuration, the tool triggers automatically on every merge request involving a model update. Developers receive automated feedback comments within their GitLab Merge Requests explaining whether an artifact passed or failed the governance gates. The project is publicly available on GitLab under the repository of developer Nikhil Raman.