The process of deploying and using MAESTRO is as follows:
- environmental preparation: Install Docker/Docker Compose and Git, make sure 5GB of free space is available
- Cloning Code: Download MAESTRO source code from GitHub repository
- Environment Configuration: Run setup-env.sh or manually edit the .env file to set the API key
- construct and run: Start the service with Docker Compose (first run will automatically download the model)
- Login to use: Access localhost:3030, log in with the default account and change the password
The usage process includes steps such as: uploading a PDF document, creating a research task, monitoring the progress of agent execution, reviewing and exporting the generated report. It is recommended that you allow enough time to complete the model download the first time you use it.
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 to deploy and use MAESTRO?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil