MAESTRO ensures data privacy in the following ways:
- Self-hosted deployment: The data is stored on a local server and the user has full control over the data to avoid third party access.
- Containerized operation: Reduce the risk of data leakage by isolating your environment with Docker.
- Regular Backup Recommendations: Users should make regular backups
.envFile and document libraries to prevent data loss. - multi-user management: Administrators can assign permissions to limit user access and enhance security.
In addition, MAESTRO requires internet access to download the model for the first run, but subsequent tasks can be completed offline, further reducing the risk of data leakage.
This answer comes from the articleMAESTRO: In-depth research assistant with local knowledge base and multi-agent collaborationThe
May not be reproduced without permission:AI productivity tools " How does MAESTRO ensure data privacy?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil