I switched my nine broken RimWorld mods back on to see if an agent could find them

A developer has built an AI-powered agent designed to troubleshoot complex RimWorld mod configurations. Managing over 200 mods often leads to conflicting dependencies and load-order issues that are difficult to diagnose manually. By leveraging the Claude Agent SDK and Sanity for data management, the author created a system that parses 'ModsConfig.xml' and 'Player.log' to identify specific errors. The agent uses a knowledge base of community rules and incident reports to provide actionable fixes rather than generic advice. In a test involving nine intentionally broken mods, the agent successfully identified each conflict and suggested a corrected load order. The project demonstrates the effectiveness of combining structured datasets with LLM-based agents to solve niche technical problems, moving beyond simple error reporting to provide context-aware solutions for mod management.