Enables LLM agents to query and analyze ActivityWatch time tracking data, including window activity, web browsing, and category management with natural language time periods and automatic data aggregation.
An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing history, and productivity patterns.
Connects AI assistants to the Tyme macOS app to manage time tracking, projects, and tasks via natural language. It uses native AppleScript and JXA to control timers and generate reports without requiring cloud dependencies or API keys.
