The steps for installing and deploying MAESTRO are listed below:
- Preparing the environment: Ensure that Docker, Docker Compose, and Git are installed on your system, and NVIDIA GPUs are recommended for improved performance.
- Clone Code Repository: Run
git clone https://github.com/murtaza-nasir/maestro.gitand enter the project catalog. - Configuring Environment Variables: Run
./setup-env.shgenerating.envfile, or manually copy and edit the.env.examplefile, filling in configurations such as API keys. - Build and run: Use
docker compose up --build -dcommand to start the service, the first run will automatically download the required models. - Visit to MAESTRO: Open your browser and visit
http://localhost:3030, change the password after logging in using the default credentials.
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 install and deploy MAESTRO?
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