关于
This autonomous agent goes beyond reactive assistants by proactively analyzing personal data from sources like Gmail, Calendar, and weather to deliver insightful morning briefings. Leveraging Gemini 2.0 Flash and the Model Context Protocol (MCP), it identifies triggers such as upcoming birthdays or schedule gaps, then autonomously plans and executes follow-up actions, including researching gift ideas or drafting emails, all before a user explicitly requests them. It prioritizes local-first privacy, processing sensitive data locally and only sending summarized context to the LLM.
