Mora: Local-first, zero-egress memory for MCP agents

Mora: Local-First, Zero-Egress Memory for MCP Agents

Mora is a critical component for developers building advanced MCP agents. It offers a robust, local-first memory solution designed to keep your agent's data secure and private. By prioritizing zero-egress, Mora ensures that sensitive information, such as your Gmail, Calendar, and iMessage data, remains on your local machine, preventing unauthorized access and enhancing data sovereignty. This makes it an ideal choice for applications requiring strict data privacy and compliance.

What Mora Does

Mora acts as a secure, on-device data store for your MCP agents. It facilitates the integration of personal communication and scheduling data, transforming it into actionable insights. Specifically, Mora processes data from Gmail, Calendar, and iMessage to construct comprehensive entity graphs. These graphs allow agents to understand relationships between people, events, and communications. Furthermore, Mora generates daily briefs, summarizing key information and tasks derived from this integrated data, enabling agents to provide more contextually relevant assistance.

Key Features

• Local-First Memory: All data is stored and processed on your local machine, ensuring maximum privacy and security.
• Zero-Egress Architecture: Designed to prevent data from leaving your local environment, safeguarding sensitive information.
• Gmail Integration: Connects to your Gmail account to ingest email content and metadata.
• Calendar Integration: Syncs with your calendar to understand appointments, events, and schedules.
• iMessage Integration: Processes iMessage conversations for relationship mapping and context.
• Entity Graph Generation: Builds interconnected graphs of people, events, and communications from integrated data.
• Daily Briefs: Creates concise summaries of important information and upcoming tasks.

Who Mora is For

Mora is specifically designed for AI developers working with MCP agents who require a secure, private, and efficient memory solution. This includes developers building:

• Personal AI assistants that need to access and process user communications and schedules.
• Agents focused on productivity and task management, leveraging calendar and email data.
• Applications where data privacy and compliance are paramount.
• Tools that benefit from understanding complex relationships within personal data through entity graphs.