Decisions on the two deployment models should be based on a three-dimensional assessment:
- Privacy and Security Needs: Locally deployed data fully resides in the user's environment, which is suitable for sensitive scenarios such as medical/financial; cloud services use TLS encrypted transmission, which meets the general business requirements
- O&M complexityLocal solution requires maintenance of Node.js environment and port configuration (default port 3000); cloud service is ready to use but relies on network stability
- Expansion costs: Fixed hardware cost for local deployment, cloud services billed per API call (need to see real-time pricing)
Technical implementation is required for local deployment:
- git clone repository
- npm install installs dependencies
- Configure the .env file
- npx starts the MCP service
And the cloud service only needs to register an account to get API_TOKEN. For fast authentication scenarios, it is recommended to prioritize the trial of core.heysol.ai cloud service.
This answer comes from the articleCore: a tool for personalized memory storage for large modelsThe
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