Privagent
PrivAgents is a privacy-first framework that combines local and cloud agents to achieve secure data processing using homomorphic encryption technology, ensuring that data remains encrypted during transmission and processing. It is suitable for sensitive scenarios such as healthcare and finance.
rating : 2 points
downloads : 18
What is the PrivAgents MCP Server?
The PrivAgents MCP (Model Context Protocol) server is a secure processing unit capable of performing encrypted similarity calculations without decryption. It works in collaboration with device-side and cloud-side agents to provide privacy-protected AI services.How to use it?
By combining with device-side agents (such as Ollama) or cloud-side agents (such as OpenAI), the MCP server can process encrypted data and return encrypted results.Application scenarios
Suitable for scenarios that require a high level of privacy protection, such as medical data analysis, financial transaction processing, and user behavior analysis.Features
Homomorphic encryption supportSupports multiple types of homomorphic encryption algorithms to ensure privacy protection during the data processing process.
High scalabilityCapable of processing large-scale data sets and suitable for various complex computing tasks.
Advantages and disadvantages analysis
How to use
Install and configure the MCP server.
Select a suitable agent (device-side or cloud-side).
Usage examples
Frequently Asked Questions
Is my data really secure?
What's the difference between device-side agents and cloud-side agents?
Can I use this framework for commercial applications?
More resources
GitHub Repository
Source code and documentation.
Detailed Explanation of Homomorphic Encryption
Understand the technical background of the encryption method used.
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