zama-ai/fhevm

📈 Trending★ 25,291RustAudience · developerComplexity · 4/5ActiveLicenseSetup · hard

Mindmap

mindmap
  root((FHEVM))
    What it does
      Encrypts blockchain data
      Computes on hidden values
      Keeps transactions private
    How it works
      Smart contracts on-chain
      Rust coprocessor off-chain
      Multi-party key management
    Use cases
      Blind auctions
      Private voting
      Confidential transfers
      Secret game moves
    Tech stack
      Rust
      Solidity
      Ethereum-compatible chains
    Key features
      Quantum-resistant
      No single decryption point
      Access control logic

mindmap root((FHEVM)) What it does Encrypts blockchain data Computes on hidden values Keeps transactions private How it works Smart contracts on-chain Rust coprocessor off-chain Multi-party key management Use cases Blind auctions Private voting Confidential transfers Secret game moves Tech stack Rust Solidity Ethereum-compatible chains Key features Quantum-resistant No single decryption point Access control logic

Things people build with this

USE CASE 1

Build blind auctions where bid amounts stay hidden from all participants until the auction ends.

USE CASE 2

Create confidential token transfers so transaction amounts are never visible on the blockchain.

USE CASE 3

Run private voting systems where votes are encrypted and only the final tally is revealed.

USE CASE 4

Develop on-chain games where player moves remain secret until players choose to reveal them.

Tech stack

RustSolidityEthereumDockerHelm

Getting it running

Difficulty · hard Time to first run · 1day+

Requires Docker, Helm, Rust/Solidity compilation, and local blockchain setup with custom contract deployment.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

FHEVM is a framework that brings data privacy to blockchain applications by using a technology called Fully Homomorphic Encryption, or FHE. In plain terms, FHE lets a computer perform calculations on encrypted data without ever decrypting it, meaning the raw information is never exposed, not even to the blockchain network processing it. FHEVM applies this to Ethereum-compatible blockchains (blockchains that support smart contracts written in a language called Solidity), so developers can build applications where transaction amounts, user balances, votes, or game moves remain completely hidden from everyone. The framework works in two layers: on-chain smart contracts handle the encrypted state and access control logic, while a separate Rust-based coprocessor handles the heavy cryptographic computations off-chain. A key management system using multi-party computation manages the encryption keys, so no single party can decrypt data on their own. The encryption scheme is also described as quantum-resistant, meaning it is designed to withstand future quantum computers. You would use this if you are building a decentralized application that needs genuine privacy, for example, blind auctions where bids stay hidden, confidential token transfers, private voting systems, or on-chain games that keep player moves secret until revealed. The tech stack includes Rust for the coprocessor and Solidity for the smart contracts, with deployment configurations using Helm and Docker.

Copy-paste prompts

Prompt 1

Show me how to write a Solidity smart contract using FHEVM that keeps user balances encrypted.

Prompt 2

How do I set up the FHEVM coprocessor to handle encrypted computations for my blockchain app?

Prompt 3

Walk me through building a confidential token transfer system with FHEVM on an Ethereum-compatible chain.

Prompt 4

What's the process for managing encryption keys in FHEVM using multi-party computation?

Prompt 5

Help me deploy an FHEVM application using Docker and Helm for a private voting contract.

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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.