The smart contract model has revolutionized trustless computation. But it comes with well-known trade-offs: limited performance, high costs, and zero privacy. Most apps are forced to squeeze logic into gas-constrained environments and reveal all data publicly—limiting what's possible in practice.
That changes with the launch of ROFL (Runtime Offchain Logic), now live on mainnet via the Oasis Protocol.
🧠 What Is ROFL?
ROFL is a framework for executing offchain logic in secure enclaves—specifically, Trusted Execution Environments (TEEs). It allows developers to run application logic outside the blockchain, but with guarantees about correctness and confidentiality. You get:
- Confidential execution (thanks to TEEs like Intel SGX)
- Cryptographic attestation that the logic ran as expected
- Onchain verification of offchain results
It essentially acts as a confidential compute layer for Web3 apps.
🔍 How It Works
ROFL is made up of:
- A TEE-based runtime that runs WebAssembly (WASI-compatible)
- A CLI and dev tooling to build, test, and deploy offchain apps
- A verifier network that checks attestation reports and integrates with onchain contracts
Your logic runs in a secure enclave, produces a signed report, and you use that report in your onchain app. It’s like calling a black-box function offchain but knowing with cryptographic certainty that it behaved correctly.
⚡ Why This Matters
This opens up powerful new patterns:
- Run AI inference without leaking model weights
- Deploy trading bots that keep their strategy private
- Process sensitive user data without exposing it onchain
- Do compute-heavy work (like ML or simulation) offchain
Because it's TEE-based, ROFL gives you verifiability without ZK overhead, and privacy without centralized infrastructure.
🚀 Getting Started
You can start building right now using:
-
rofl.app— For creating and deploying offchain apps. - ROFL Docs — Full lifecycle, attestation flow, and examples.
Templates are available for common workloads like trading agents, AI personas, and oracle logic.
🛠️ Real Use Cases
ROFL is already powering live applications:
- WT3: an autonomous DeFi trading agent using offchain strategy
- Zeph.AI: a privacy-first AI companion that runs in a secure enclave
- Others in the pipeline include game backends, MPC coordination, and zkML inference engines.
If your app deals with sensitive data, high-trust agents, or heavy computation, this stack is worth exploring.
🧩 Final Thoughts
ROFL brings a new paradigm: decentralized, verifiable, confidential compute for Web3. It fills key gaps in blockchain infrastructure and finally makes it feasible to build secure AI agents, private DeFi bots, and other logic that doesn’t fit onchain.
Explore the stack, spin up a workload, and reimagine what your dApp can do—beyond the chain.
Top comments (1)
I have become a fan of ROFL as I read more and more about its capabilities. From what I understand while its applicability in cryptoAI use cases is immediately evident, it is actually a powerful tool in every web3 utility handling and processing massive data sets that do not need end-to-end on-chain computation. By divvying up between on-chain and off-chain components, Oasis ROFL marks a new era in DeCC in addition to DeAI. A super friend to have for the devs.