AI Context Inspector

AI Context Inspector is a tool designed to check the health of an AI's memory, called the context window. It uses a method called Bell Tuning to look at the AI's context like a measurement. Instead of just looking at the final answer the AI gives, this tool focuses on the pattern of information within the AI's memory to see if it's getting worse.

Benefits

AI Context Inspector helps find problems with an AI's memory before they become obvious in its answers. It measures how well the AI's information stays on topic. A healthy AI memory is like a focused bell curve, meaning the information is consistent and relevant. If the bell curve gets wider or shifts, it can mean the AI is getting confused, losing important details, or drifting away from the original topic. If the curve becomes flat, it means the original information is lost.

Key things it measures include how consistent the context is with the main topic, where the center of the information lies, and the overall shape of the context data. It also provides scores for individual pieces of information to show which parts are on or off topic.

Use Cases

This tool can be used to monitor the memory of AI systems. It's helpful for developers and users who want to ensure AI conversations or processes remain accurate and on track. It can be installed easily using a command line and works with various AI clients like Claude Desktop and Cursor. It also offers a web dashboard for visualizing the AI's context health and a simulation framework for testing different AI strategies.

Vibes

The tool is based on research that showed AI memory problems can be detected early using statistical patterns. An experiment proved that the bell curve's shape changed significantly before the AI's output quality dropped, showing it's a good early warning sign.

Additional Information

AI Context Inspector is open-source, meaning its code is publicly available. The project also offers consulting services to help teams deal with memory degradation issues in their AI systems.