AgentFHE is a confidential on-chain lending pool built on Zama's fhEVM. It enables AI agents to lend and borrow encrypted model weights and datasets for collaborative training and inference without ever revealing the underlying data.
Imagine you have sensitive data—like medical records or business secrets—and you want an AI to analyze it. Normally, you’d have to "hand over the keys" to your data, which is a huge privacy risk. AgentFHE changes that.
- The "Blindfolded" AI: Our AI Agents work while wearing a digital "blindfold." You send your data in a locked box (encryption).
- Processing without Looking: The AI can analyze the box without ever opening it. It can tell you "Yes, this data is high quality," but it never actually sees your private details.
- The Marketplace: You can "Hire" specialized AI experts from our marketplace to work on your locked data.
- Earn While You Sleep: You can "Lend" your valuable data to a secure pool. Others pay to have the AI analyze it, and you earn interest (Yield)—all while your data stays 100% private.
In short: It’s an AI Marketplace where your secrets stay secret, even from the AI itself.
- Confidential Lending: Deposit model weights encrypted client-side using tfhe-rs simulations.
- Homomorphic Model Fusion: Combine multiple encrypted weight sets into a single fused model using
TFHE.addandTFHE.div. - Private Risk Assessment: Execute non-interactive risk checks on borrower profiles using
eboolandeuintcomparison logic. - Quality-Weighted Yields: Automated yield multipliers based on homomorphically validated model performance scores.
- Encrypted Governance: Propose and vote on protocol parameters where votes are private and tallies are updated homomorphically.
ConfidentialPool.sol: Manages encrypted liquidity and yield distribution.ModelFusion.sol: Implements homomorphic averaging for collaborative training.AccessControl.sol: FHE-based permissioning system for asset borrowing.ConfidentialGovernance.sol: Private voting infra with homomorphic result tallying.
- FHE Context: Simulates local encryption/decryption states and Zama Gateway re-encryption flows.
- PWA Frame: A mobile-first, high-fidelity experience optimized for agent-on-the-go management.
- Gateway Monitor: Real-time visualization of asynchronous FHE computation states.
git clone https://github.com/your-repo/agent-fhe.git
cd agent-fhe
npm installnpm run devRequires a local fhEVM node or Zama Devnet access.
npx hardhat compile
npx hardhat testAgentFHE follows the official Zama Branding Guidelines:
- Primary Color:
#FFD208(Zama Yellow) - Secondary:
#000000(Pitch Black) - Accent:
#F4F4F4(Cool Gray) - Typography: Inter (Bold/Black) with Italicized Technical Slant.