fhevm
by zama-ai
FHEVM is a framework for writing blockchain smart contracts that work on encrypted data, using a technique called fully homomorphic encryption. It lets developers keep balances, bids or votes private on Ethereum-compatible chains while still running logic on them.
- Stars
- 24.8k
- Licence
- Unclear
- Runs on
- A small server
- Setup
- Technical
- Language
- Rust
- Age
- 546 days
What you can do with it
- Write confidential smart contracts in Solidity that compute on encrypted values
- Build private apps such as blind auctions, confidential voting or hidden-move games
- Run the coprocessor and key management components with Docker and Helm to test the full stack
Make money with it
A developer could offer paid consultancy or build custom confidential smart contracts for clients who need private on-chain features.
An idea, not financial advice. Check the licence before charging for anything built on it.
Ways a business could use it
- Build a sealed-bid auction or private voting feature for a client's blockchain product without exposing user data
- Offer confidential token transfers in a prototype so customers' amounts stay hidden from competitors
Can you use it commercially?
No standard licence detected. Read the licence before using it commercially.
Not legal advice. Read the project's licence file before building a product on it.
Getting it running
The repository holds Solidity contracts, a Rust coprocessor, Helm charts and a docker-compose test suite, so setup follows the project documentation and needs blockchain and container knowledge.
Follow the official instructions in the project README.
Things to check
- Licence is BSD-3-Clause-Clear, but commercial use needs a paid patent licence from Zama
- Free use is limited to development, research, prototyping and experimentation
- Contributions need a signed contributor licence agreement
- Needs deep blockchain and cryptography-adjacent knowledge
- Some toolchain support, such as Foundry, is marked as coming soon
Checked 30 Oct 2026. Summary drafted by AI from the project's README.