Work History
Logs AI tool activities with detailed tracking of metrics, models, and timestamps to daily markdown files.
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The Work History server serves as a centralized hub for AI tools compatible with the Model Context Protocol (MCP) to log their daily operations. It meticulously records activities, capturing essential details such as the AI tool used, the specific AI model, precise timestamps, and comprehensive metrics including token usage, context length, duration, and estimated costs. This ensures a clean, organized record of all AI-assisted work, stored in easily scannable daily markdown files, providing valuable insights into AI usage and productivity.
Características Principales
- Automatic daily activity logging to organized markdown files
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- Tracks AI tools and models used for each activity
- Comprehensive metrics tracking (token usage, context, duration, cost)
- Records both successful operations and errors with messages
- Customizable tagging system for activity categorization
Casos de Uso
- Monitor and analyze AI model usage, costs, and performance over time
- Automatically track all AI interactions and their associated metrics in development workflows
- Maintain a detailed, categorized work log of AI-assisted tasks for personal or team review
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