Bee
Connects Bee wearable lifelogging data to AI via the Model Context Protocol.
About
Bee acts as an unofficial Model Context Protocol (MCP) server, bridging your Bee wearable lifelogger to AI agents. It allows Large Language Models (LLMs) to access and interact with personal data stored in Bee, including conversations, facts, to-dos, and location history, enabling AI to answer questions and perform actions based on your lifelogging data.
Key Features
- Provides access to Bee.computer data through the Model Context Protocol
- Supports listing and retrieving conversations, facts, todos, and locations
- Enables AI to create, update, and delete facts and todos
- Offers convenient functions for accessing location data within specific timeframes
- Compatible with LLM clients such as Claude and Zed
- 0 GitHub stars
Use Cases
- Automating tasks such as adding reminders or recording facts
- Enabling AI assistants to answer questions based on your personal data
- Providing context to AI agents based on your conversation history and location data
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