I Scanned 5 Popular Open-Source AI Projects for EU AI Act Compliance. Here's What I Found.

The EU AI Act enforcement deadline is August 2026. Every AI system deployed in the EU will need to meet specific technical requirements around risk management, data governance, documentation, logging, human oversight, and security. I built an open-source scanner that checks Python AI codebases against these requirements. Then I pointed it at some of the most popular open-source AI projects to see where things stand. The results were eye-opening. What I Scanned I ran AIR Blackbox (the scanner itself), Browser Use (79K+ stars), RAGFlow (76K+ stars), LiteLLM (23K+ stars), and Superlinked (15K+ stars) through the same compliance checks. Each scan maps code patterns to six articles from the EU AI Act: Article 9 (Risk Management): error handling, fallback patterns, retry logic, risk classification Article 10 (Data Governance): input validation, schema enforcement, PII handling Article 11 (Technical Documentation): docstring coverage, type hints, README, model cards Article 12 (Record-Keeping