PrivAgents: Agents and MCP servers for Confidential AI Workflows
PrivAgents is a privacy-first framework where intelligent agents interact with a secure MCP (Model Computation & Processing) server to perform encrypted data analysis using homomorphic encryption.
Overview
what is PrivAgents?
PrivAgents is a privacy-first framework that enables intelligent agents to interact with a secure Model Computation & Processing (MCP) server for encrypted data analysis using homomorphic encryption.
how to use PrivAgents?
To use PrivAgents, clone the repository, set up the environment, start the MCP server, and run either the Ollama or OpenAI agent to perform encrypted data processing.
key features of PrivAgents?
- Privacy-preserving data processing using homomorphic encryption
- Support for both on-device and cloud-based agents
- End-to-end encrypted data interaction
- Modular architecture for secure similarity calculations
use cases of PrivAgents?
- Secure data analysis in healthcare
- Personalized recommendations without exposing raw data
- Confidential financial data processing
FAQ from PrivAgents?
- Is user data visible to the server?
No, the server never sees user data in plaintext due to homomorphic encryption.
- Can I use both on-device and cloud agents?
Yes, PrivAgents supports both Ollama (on-device) and OpenAI (cloud-based) agents.
- What are the benefits of using PrivAgents?
It ensures zero trust, is agent agnostic, and can be extended for various applications.
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