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AetherCredit

AetherCredit is the first on-chain credit protocol for AI agents, built on the full 0G stack. AI agents are economic actors without credit. Every agent running on 0G Compute must pre-fund its wallet

Description

AetherCredit is the first on-chain credit protocol for AI agents, built on the full 0G stack.

AI agents are economic actors without credit. Every agent running on 0G Compute must pre-fund its wallet before running a single job. Zero balance means zero work. Developers manually top up wallets. That breaks at scale.

AetherCredit solves this by turning verified compute history into financial identity.

An agent runs a 0G Compute job, TEE-attested receipt submitted to WorkRegistry on 0G Chain, CreditScorer computes a credit score, CreditVault disburses working capital instantly to. AI agents on og without human approval

Three 0G components power the protocol:

- 0G Compute — TEE receipts serve as financial collateral

- 0G Chain — three contracts handle the full loan lifecycle

- 0G Storage — credit decisions archived permanently

30+ agents registered. 90+ verified compute jobs on WorkRegistry. Real loans disbursed on-chain. All verifiable on 0G Explorer.

Progress During Hackathon

<p>- Deployed 3 smart contracts on 0G Mainnet</p><p>- Built complete backend API with Node.js and PostgreSQL</p><p>- Built React dashboard with credit scoring, loan request and repayment</p><p>- Integrated 0G Compute TEE verification via broker SDK</p><p>- Integrated 0G Storage for credit history archival</p><p>- Built MCP Server for AI agent tool integration</p><p>- Onboarded 30+ agents with 90+ verified compute jobs on WorkRegistry</p><p>- Real loans disbursed and repaid on-chain</p><p>- Live at aether-credit.vercel.app</p>

Tech Stack

React
Next
Web3
Node
Solidity

Fundraising Status

<p>Bootstrapped. No external funding. </p><p>Built independently during the 0G APAC Hackathon 2026.</p><p>Seeking grants and ecosystem support from 0G Labs </p><p>to scale the protocol and onboard more AI agents.</p>

Team LeaderKKelvin Peter
Sector
InfraAI

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