This content originally appeared on DEV Community and was authored by Manav
AI agents are shifting from passive assistants to autonomous actors. They can now trade, moderate communities, run social accounts, and even negotiate on behalf of users. But with this “agentic shift” comes a major roadblock: privacy.
Traditional AI agents need access to sensitive data (API tokens, strategies, personal context). On the other hand, blockchains, our go-to for decentralization, are fully transparent. This clash creates what I call the Privacy Paradox of AI agents.
How can we make agents private, trustworthy, and verifiable without sacrificing decentralization?
That’s where the ROFL framework by Oasis and its rofl.app marketplace come in.
Why Current AI Agents Don’t Cut It
Let’s take two common examples developers experiment with:
- AI Telegram Chatbots
- Use BotFather tokens + APIs for automation.
- AI models (NLP / LLM) handle responses.
- Problem → Token stored on a server means single point of failure.
- Persona X Agents (for Twitter/X)
- Automate posts, engagement, and analytics.
- Problem → Either centralized hosting (trust issue) or blockchain-based (no privacy).
Both face the same issues:
- Secrets exposed (API tokens, strategies).
- No verifiability (how do we prove the bot is doing what it claims?).
- Centralized chokepoints (the server running the code).
ROFL: Runtime Off-chain Logic
ROFL is a confidential compute framework built by Oasis.
Here’s what makes it powerful for AI agents:
Confidential Execution with TEEs
Code + data run inside Trusted Execution Environments (TEEs). Even the server admin can’t peek inside.Remote Attestation
Each agent can prove cryptographically that it’s running the expected code, not a tampered version.On-Chain Anchoring
Blockchain isn’t doing heavy compute—it’s a verifier + trust anchor. Perfect balance between privacy and transparency.
rofl.app: No-Code Marketplace for Confidential AI
For developers, rofl.app is like a launchpad:
- Templates: Deploy an AI Telegram bot or Persona X agent in minutes.
- Secret Management: API keys injected directly into TEEs (never exposed).
- Verifiable Actions: Every significant action (like posting a tweet) can generate a signed proof, stored on-chain.
This means:
- Your trading strategy bot can stay private while still proving it’s running the agreed logic.
- Your AI social agent can engage automatically without leaking strategy.
- Users and DAOs can trust agents without trusting you.
Why This Matters for Developers
The architecture unlocks a middle ground between Web2 and Web3:
- Web2 (servers): fast, private, but requires blind trust.
- Web3 (smart contracts): transparent, verifiable, but zero privacy.
- ROFL: fast, private, and verifiable.
As a developer, this gives you tools to build:
- Confidential DeFi trading agents.
- Autonomous DAO delegates with verifiable voting.
- Private-but-provable social media personas.
- Scalable AI systems without leaking sensitive data.
Final Thoughts
We’re entering a new era where agents won’t just assist, they’ll act autonomously. But trust is the limiting factor. With Oasis ROFL + rofl.app, we now have the building blocks for agents that are both private and verifiable.
If you’re a dev experimenting with AI agents, this framework is worth digging into. It could be the foundation for the next wave of autonomous dApps.
This content originally appeared on DEV Community and was authored by Manav
Manav | Sciencx (2025-08-29T18:24:37+00:00) Building Verifiable & Confidential AI Agents with Oasis ROFL. Retrieved from https://www.scien.cx/2025/08/29/building-verifiable-confidential-ai-agents-with-oasis-rofl/
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