SmartChain Hub Blog

Insights on AI ร— Web3

Deep dives into 0G infrastructure, agent sovereignty, TEE-verified inference, and the agentic economy.

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Deep DiveFeatured

What Agent Sovereignty Actually Means on 0G

Most AI agents are just wallets with prompts. A truly sovereign agent has an on-chain identity that cannot be cloned by copying a private key. Here's how SmartChain Hub achieves this using 0G's Agent ID standard.

Apr 15, 20266 min read
Agent ID0G ChainSovereignty
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Technical8 min read

TEE-Verified AI Inference: Why It Matters for DeFi

When an AI agent optimizes your transaction, how do you know it wasn't manipulated? 0G Compute's TeeML mode runs inference inside a Trusted Execution Environment and signs the result cryptographically. Here's what that means in practice.

Apr 10, 2026
0G ComputeTEE
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Tutorial7 min read

Building Persistent Agent Memory with 0G Storage KV

95% of AI agent projects store memory in localStorage or a centralized database. We show you how to use 0G Storage's KV layer to give your agent memory that survives browser resets, device switches, and even app rebuilds.

Apr 5, 2026
0G StorageKV Layer
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Product5 min read

The Agentic Economy Flywheel: 3 On-Chain Interactions Per User Action

Every optimization on SmartChain Hub generates a storage upload, an Agent ID update, and a revenue event. We break down the economic flywheel that makes this sustainable and why it matters for Track 3 of the 0G APAC Hackathon.

Mar 30, 2026
EconomicsRevenue
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Technical9 min read

Designing a Soulbound NFT for AI Agent Identity

SmartChainAgentID.sol stores your agent's model hash, memory Merkle root, and reputation score on-chain. It's non-transferable by design. Here's the architecture and why we chose this approach over a standard EOA wallet.

Mar 25, 2026
SolidityNFT
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ML10 min read

Training a 6-Feature TensorFlow Model for Transaction Optimization

Our local fallback model uses 6 features โ€” amount, priority, congestion, time-of-day, and more โ€” to predict optimal transaction routes. We walk through the architecture, training data generation, and why we chose this approach.

Mar 20, 2026
TensorFlowML

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