Log Anomaly Detector

Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.

自动记录日常活动、对话摘要、重要事件到 memory 目录。支持定时记录、事件触发记录、每日总结。

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

解析和分析微信Xlog日志文件，提取关键信息并生成诊断报告；当用户需要分析微信日志、排查故障或统计日志数据时使用

Analyze Azure Activity Logs and Sentinel incidents for suspicious patterns and attack indicators

功能强大的车辆日志下载与解析工具，支持云端日志下载、本地日志处理、自动故障分析等功能