Eigent's local deployment solution supports all data processing to be done in the user's own hardware environment, the local model storage path can be specified through the config.yaml configuration file, and the external network connection can be isolated by using the 'eigent run -local' command during runtime. The 'eigent run -local' command is used to isolate the external network connection. This model is particularly suitable for handling sensitive information such as medical records and financial data, and meets strict data compliance requirements such as GDPR. Enterprises can also build a privatized knowledge base of intelligentsia on this basis to avoid the risk of core data leakage.
This answer comes from the articleEigent: an open source desktop application for automated multi-intelligence collaborationThe
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