AutoFund Agents is a Web3-based autonomous financial system built on the Monad blockchain, designed for the Agent Economy, where AI agents act as independent financial participants.
The platform enables autonomous agents to manage investments, subscriptions, and payments, while Monad smart contracts provide programmable, conditional settlement (x402) in a trustless, transparent, and low-latency manner.
Modern financial management is fragmented and manual. AutoFund Agents replaces this with a fully autonomous, agent-driven financial operating system.
Users define high-level rules and limits, and AI agents continuously:
- Analyze financial data
- Make decisions
- Execute actions on-chain
All activity is auditable, secure, and explainable.
AutoFund Agents is built as a multi-agent system, where each agent has a clear responsibility and its own economic identity.
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Market Analysis Agent Analyzes market data using technical indicators and generates confidence-scored signals.
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Trading Agent Executes trades based on approved strategies and agent signals.
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Subscription Agent Tracks usage, renewal cycles, and costs for recurring subscriptions.
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Recommendation Agent Explains why each financial action is recommended, enabling explainable AI.
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Risk & Approval Agent Enforces spending limits and requests user consent when required.
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Settlement Agent (Monad) Executes all payments, transfers, and settlements on-chain.
Agents communicate with each other and with smart contracts, not humans.
Monad acts as the execution and settlement layer for AutoFund Agents.
- Conditional payments and escrow
- Scheduled subscription renewals
- Automatic execution based on user-defined rules
- Fee splitting between agents
- Immutable audit trails
If the user does not respond within 24 hours, automatically execute the scheduled subscription payment.
This demonstrates programmable settlement for autonomous agents, aligned with the Agent Economy.
- AI-driven market analysis
- Confidence-based trading decisions
- Paper trading for demos
- On-chain settlement of results
- Tracks cost, usage, and renewal dates
- AI-powered recommendations (upgrade, downgrade, cancel, auto-pay)
- Conditional execution via smart contracts
Every action is justified with a clear explanation, building trust and transparency.
- Each agent has its own Monad wallet
- Spending limits and permission scopes
- Fully auditable on-chain history
- Next.js + React
- Interactive dashboards & charts
- Wallet integration
- Spring Boot
- AI agent orchestration services
- Market analysis engine
- Subscription & expense logic
- Risk & approval rules engine
- WebSocket-based real-time updates
- Web3 interaction with Monad smart contracts
⚠️ Note: Backend services are currently under active development. The repository structure and responsibilities are defined to demonstrate full-system architecture and will be incrementally implemented.
- Monad blockchain
- Solidity smart contracts
- Conditional settlement (x402)
autofund-agents/
├── frontend/ # Next.js dashboard
├── backend/ # Spring Boot services (WIP)
│ ├── agents/ # AI agent implementations
│ ├── orchestration/ # Agent coordination logic
│ ├── services/ # Business logic
│ └── web3/ # Monad integration
├── contracts/ # Solidity smart contracts
├── docs/ # Architecture & design docs
└── README.md
- ✅ Core concept & system architecture defined
- ✅ Frontend MVP dashboard implemented
- 🚧 Backend agent services (Spring Boot) — in progress
- 🚧 Monad smart contracts — in progress
- 🚧 End-to-end on-chain execution
This repository intentionally includes planned backend and blockchain components to reflect the complete design of an autonomous financial system.
AutoFund Agents demonstrates how AI + Web3 can enable:
- Autonomous financial workflows
- Trustless, programmable settlement
- Scalable agent economies
This project showcases how Monad can power the next generation of autonomous financial systems.
MIT License