aglio-lab/ai-governance-tools

This repository is a curated directory of over 130 tools and resources related to AI governance, meaning the practice of managing AI systems responsibly across risk, compliance, fairness, privacy, and accountability. Like its companion evaluation tools list from the same maintainer, this is a reference document rather than software you run, aimed at people who need to find the right platform or tool for a specific AI governance task rather than build one from scratch. The list is organized around 11 main categories and points readers toward the right section based on what they are trying to accomplish. A quick reference table maps common goals, such as running an enterprise wide governance program, keeping an inventory of AI systems and their owners, mapping controls to regulations like the EU AI Act or the NIST AI risk management framework, collecting audit ready evidence, monitoring models in production, explaining model predictions, testing for unfair outcomes, or protecting personal data, to the matching category. Beyond those, it also covers documentation and model cards, security and policy enforcement, and governance services built into cloud platforms. Each listed entry includes a short description and a link to its official source, whether a vendor page, a project repository, a standards body, or a regulator. Entries are labeled with icons showing whether something is open source, open weights, open core with a paid layer, or fully commercial and closed, so a reader can quickly judge cost and openness before digging further. As with the evaluation list, the same catalog is offered in machine readable JSON and CSV form for anyone building tooling on top of it. The project states it is reviewed monthly, with a last reviewed date in mid July 2026, and covers 125 listed tools plus 8 historical entries. It uses the CC0 license, placing the content in the public domain. It currently has 0 stars and is tagged as a Python project, though the repository itself is primarily a documentation list. The full README is longer than what was shown.