Autonomous multi-agent financial intelligence infrastructure built with Fetch.ai uAgents.
Agentic Finance Network demonstrates how specialized autonomous AI agents collaborate to analyze market conditions, perform risk assessment, and coordinate execution decisions through decentralized agent-to-agent communication.
Agentic Finance Network is an infrastructure demonstration showcasing how autonomous financial agents communicate through structured messaging using the Fetch.ai uAgents framework.
Instead of combining every responsibility into one application, the system separates market analysis, risk management, workflow orchestration, and execution into independent AI agents that collaborate to complete an end-to-end workflow.
The project serves as a foundation for future decentralized financial intelligence systems.
Traditional financial systems are typically built as monolithic applications where every responsibility exists inside a single codebase.
Agentic Finance Network demonstrates a modular alternative where autonomous agents cooperate through structured protocols while remaining independently reusable, maintainable, and extensible.
This repository is intended as infrastructure for autonomous financial workflows rather than a production trading platform.
┌────────────────────┐
│ Coordinator Agent │
└─────────┬──────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
┌───────▼────────┐ ┌────────▼────────┐ ┌────────▼────────┐
│ Market Agent │ │ Risk Agent │ │ Execution Agent │
└────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└──────────── Workflow ────────────────┘
- Coordinator Agent initializes the workflow.
- Market Agent performs market analysis.
- Risk Agent evaluates market conditions.
- Execution Agent simulates trade execution.
- Coordinator Agent receives the final execution result.
Responsible for orchestrating the complete workflow and routing messages between agents.
Produces market analysis and returns structured market intelligence.
Evaluates market analysis and generates a trade recommendation.
Simulates execution and reports the final execution status.
- Multi-agent architecture
- Fetch.ai uAgents framework
- Bureau orchestration
- Typed message protocols
- Coordinator-driven workflow
- End-to-end execution simulation
- Modular agent design
- Infrastructure-first architecture
- MIT licensed
agentic-finance-network/
│
├── agents/
│ ├── coordinator.py
│ ├── market_agent.py
│ ├── risk_agent.py
│ ├── execution_agent.py
│ └── protocols.py
│
├── config.py
├── main.py
├── requirements.txt
├── DELIVERY_REPORT.md
├── README.md
└── LICENSE
Clone the repository
git clone https://github.com/agenticfinance-dev/agentic-finance-network.gitMove into the project
cd agentic-finance-networkInstall dependencies
pip install -r requirements.txtRun the project
python main.pyAgentic Finance Network v0.1.0
Coordinator Startup
↓
Market Analysis Completed
↓
Risk Assessment Completed
↓
Trade Decision Generated
↓
Execution Simulation Completed
↓
Execution Status: SUCCESS
- Four autonomous agents implemented
- Bureau orchestration operational
- End-to-end workflow validated
- Delivery report included
- Public GitHub repository
- Infrastructure MVP completed
Each autonomous agent owns a single responsibility.
This modular architecture improves maintainability, enables independent testing, and allows new agents to be integrated into the workflow without changing the overall system design.
This project is an infrastructure demonstration.
It does not:
- Execute live trades
- Connect to cryptocurrency exchanges
- Hold user funds
- Manage wallets
- Provide financial advice
All execution is fully simulated for educational and infrastructure demonstration purposes.
- Agentverse deployment
- Persistent agent memory
- Live market data adapters
- Additional financial intelligence agents
- Extended protocol support
- README.md
- DELIVERY_REPORT.md
MIT License