Context Rot Detection is an MCP server designed to provide AI agents with real-time self-awareness of their cognitive state, specifically detecting and monitoring 'context rot'—a decline in performance as long-running agent context windows become saturated. It offers health scoring, model-specific degradation analysis, actionable recommendations, health history tracking, and supports a wide range of popular and HuggingFace LLMs. This tool is valuable for developers and organizations running persistent AI agents who want to maintain high agent reliability and performance over time.
Visit context-rot-detection's official website for product details and getting started.
Comprehensive API reference and integration guides for context-rot-detection.