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Aditya Singh
Aditya Singh

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🧠 Building Autonomous DeFi Agents with Confidential Smart Contracts

we’ve seen countless iterations of automation from basic Solidity scripts and Chainlink keepers to fully on-chain DAOs. But Oasis Network’s new DeFAI (Decentralized Finance AI Agents) framework is arguably one of the most promising and developer-ready approaches to building autonomous, privacy-preserving financial agents.

Here’s why DeFAI deserves your attention especially if you’re a smart contract developer, agent-based AI builder, or DeFi protocol engineer.

🧩 What is DeFAI?
DeFAI agents are autonomous smart contract-based actors that operate independently in DeFi markets. Think of them like programmable bots but living entirely on-chain and powered by confidential execution, access to real-time off-chain HTTPS data, and key custody capabilities. They can execute trades, manage portfolios, or interact with lending protocols all with embedded privacy and trust guarantees.

👉 Full blog: https://oasis.net/blog/defai-decentralized-finance-agents

🔐 Key Innovations for Developers
Here’s what sets DeFAI apart from traditional DeFi bots or smart contract automations:

✅ 1. Confidential Execution with Sapphire Runtime

DeFAI agents run on Sapphire, Oasis’s confidential EVM. This means all logic and state are encrypted by default even node operators can’t view internal variables, strategies, or state changes. This opens the door to building agent logic that involves sensitive data, proprietary models, or predictive algorithms without revealing them on-chain.

🛠️ No new language required build in Solidity as usual.

More on Sapphire: https://docs.oasis.io/dapp/sapphire

✅ 2. Autonomous Key Management

Agents leverage Decentralized Key Management Agents (KMAs) confidential on-chain modules that can securely store and use private keys. With KMAs, you can design agents that can sign transactions or interact with external wallets autonomously without requiring user confirmation for every step.

This unlocks truly independent DeFi agents ones that can rebalance portfolios, move assets, or swap tokens with full control.

KMA overview: https://oasis.net/blog/decentralized-key-management-agents

✅ 3. Verifiable Off-Chain Data via zkTLS

Using the new zkTLS protocol, Oasis enables confidential agents to securely fetch data from any HTTPS endpoint off-chain APIs like CoinGecko, centralized exchanges, or even TradFi data feeds in a verifiable and privacy-preserving way.

This solves a huge gap in Web3: agents can now make decisions based on off-chain signals like market trends or volatility, without relying on oracles.

✅ 4. Native EVM Compatibility

Because Sapphire is fully EVM-compatible, DeFAI agents can directly integrate with existing Ethereum-based DeFi protocols like Aave, Uniswap, Compound, or GMX — no forks or wrappers required.

You can literally drop in existing smart contract libraries and build agent logic on top of it with confidentiality as a layer.

🧠 Developer Potential: What's Possible?
Autonomous hedge bots that rotate between ETH/stables based on off-chain macro data

Yield optimizers that track APY across multiple platforms and rebalance accordingly
On-chain market makers that use L2 or CeFi order book data as input
Real-time liquidation agents with encrypted trigger conditions

And these agents can do all of this without leaking alpha or exposing their logic to competitors.

📚 Resources to Get Started

📄 Official DeFAI blog: https://oasis.net/blog/defai-decentralized-finance-agents
🔐 KMAs: https://oasis.net/blog/decentralized-key-management-agents
🔎 zkTLS: https://oasis.net/blog/zktls-blockchain-security
📚 Sapphire Dev Docs: https://docs.oasis.io/dapp/sapphire

🧪 Final Thoughts
DeFAI represents a real paradigm shift. We’re no longer just programming contracts we’re programming agents with memory, autonomy, secure access to keys, and encrypted reasoning.

If you’re building anything in DeFi or want to explore AI × crypto in a meaningful way, now’s the time to dive into Oasis’s DeFAI stack. The tooling is here, the primitives are mature, and the use cases are wide open.

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