Banking Agent OS
AI-powered banking system for intelligent agents - 智能体银行交易系统
Overview
Banking Agent OS is a comprehensive banking platform designed specifically for AI agents and intelligent systems. It provides secure account management, transaction processing, AI-powered customer service, and advanced risk control.
Perfect for building:
- AI Agent Banking Systems
- Marketplace Transaction Platforms
- Digital Wallet Services
- Automated Risk Management Systems
Key Features
1. Account Management
- Multi-type accounts: Checking, Savings, Agent Wallet, Escrow
- Real-time balance tracking: Instant updates and queries
- Account freeze/unfreeze: Security controls
- Multi-currency support: USD and more
- User and agent accounts: Flexible account types
2. Transaction System
- Secure fund transfers: Atomic transactions with rollback
- Deposits and withdrawals: Full support
- Payment processing: Real-time execution
- Transaction history: Complete audit trail
- Automated reconciliation: Balance verification
3. AI-Powered Services (OpenAI GPT-4)
- Intelligent customer support: AI chatbot for banking queries
- Transaction analysis: Insights and patterns
- Personalized financial advice: AI-generated recommendations
- Anomaly detection: Unusual pattern recognition
- Fraud prevention: AI-powered security
4. Risk Control
- Real-time risk assessment: 0.0-1.0 scoring
- Transaction limit enforcement: Daily limits and velocity checks
- Velocity checking: Rapid transaction detection
- Fraud detection algorithms: Multiple risk indicators
- Comprehensive risk reporting: Detailed analytics
Technology Stack
Backend:
- Python 3.9+
- FastAPI framework
- SQLAlchemy 2.0 (async)
- Pydantic 2.0 for validation
- OpenAI GPT-4
Frontend SDK (optional):
- TypeScript
- Node.js 16+
- Axios HTTP client
Installation
Prerequisites
Required:
- Python 3.9 or higher
- OpenAI API Key (get from https://platform.openai.com/api-keys)
Optional (for JavaScript SDK):
- Node.js 16+ and npm
Method 1: Python Package via PyPI (Recommended)
# Install the package
pip install banking-agent-os
# Create configuration file
cat > .env << EOF
OPENAI_API_KEY=your_openai_api_key_here
DATABASE_URL=sqlite+aiosqlite:///./banking_agent.db
EOF
# Start the server
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
Method 2: JavaScript SDK via npm (For SDK Users)
# Install the SDK
npm install openclaw-banking-agent-os
Then use in your Node.js/TypeScript project:
import { BankingAgentClient, AccountType } from 'openclaw-banking-agent-os';
const client = new BankingAgentClient({
baseURL: 'http://localhost:8000' // Points to running backend
});
Note: The npm package is a client SDK only. You still need the Python backend running.
Method 3: ClawHub Installation
# Install via ClawHub
clawhub install banking-agent-os
# The skill will be installed in your skills directory
cd skills/banking-agent-os
# Configure environment
cp .env.example .env
# Edit .env to add your OPENAI_API_KEY
# Start server
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
Quick Start
1. Ensure Python Backend is Running
Before using the banking system, the backend server must be running:
# Check if server is running
curl http://localhost:8000/health
# If not running, start it:
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
Expected response:
{
"status": "healthy",
"database": "connected",
"ai_service": "ready"
}
2. Create an Account
curl -X POST http://localhost:8000/api/accounts \
-H 'Content-Type: application/json' \
-d '{
"user_id": "user_123",
"account_type": "checking",
"currency": "USD",
"initial_balance": 1000.00
}'
Response:
{
"id": "acc_xxx",
"account_number": "ACC123456",
"balance": 1000.00,
"status": "active"
}
3. Transfer Funds
curl -X POST http://localhost:8000/api/transactions \
-H 'Content-Type: application/json' \
-d '{
"from_account_id": "acc_xxx",
"to_account_id": "acc_yyy",
"amount": 100.00,
"transaction_type": "transfer",
"description": "Payment"
}'
4. AI Customer Support
curl -X POST http://localhost:8000/api/ai/chat \
-H 'Content-Type: application/json' \
-d '{
"message": "How do I check my account balance?"
}'
API Endpoints
Accounts (3 endpoints)
POST /api/accounts- Create new accountGET /api/accounts/{account_id}- Get account detailsGET /api/accounts/user/{user_id}- Get user's accounts
Transactions (3 endpoints)
POST /api/transactions- Create transactionGET /api/transactions/{transaction_id}- Get transaction detailsGET /api/transactions/account/{account_id}- Get account transactions
AI Service (4 endpoints)
POST /api/ai/chat- AI customer supportPOST /api/ai/analyze-transaction- Analyze transactionPOST /api/ai/financial-advice- Get financial advicePOST /api/ai/detect-anomalies- Detect anomalies
Risk Control (2 endpoints)
POST /api/risk/assess- Assess transaction riskGET /api/risk/report/{account_id}- Get risk report
System (2 endpoints)
GET /- Root endpointGET /health- Health check
Usage Examples
Python API Usage
import uvicorn
from app.main import app
# Start the server programmatically
if __name__ == "__main__":
uvicorn.run(
app,
host="0.0.0.0",
port=8000,
log_level="info"
)
TypeScript SDK Usage
import { BankingAgentClient, AccountType, TransactionType } from 'openclaw-banking-agent-os';
// Initialize client
const client = new BankingAgentClient({
baseURL: 'http://localhost:8000'
});
// Create account
const account = await client.accounts.create({
user_id: 'user_123',
account_type: AccountType.CHECKING,
initial_balance: 1000.00
});
console.log('Account created:', account.account_number);
// Process transaction
const transaction = await client.transactions.create({
from_account_id: account.id,
to_account_id: recipient_id,
amount: 100.00,
currency: 'USD',
transaction_type: TransactionType.TRANSFER,
description: 'Payment'
});
console.log('Transaction completed:', transaction.id);
// AI chat
const response = await client.ai.chat({
message: 'How do I transfer money?'
});
console.log('AI Response:', response.response);
JavaScript (CommonJS) Usage
const { BankingAgentClient } = require('openclaw-banking-agent-os');
const client = new BankingAgentClient({
baseURL: 'http://localhost:8000'
});
async function main() {
// Create account
const account = await client.accounts.create({
user_id: 'user_123',
account_type: 'checking',
initial_balance: 1000.00
});
console.log('Account created:', account.id);
}
main();
Use Cases
1. AI Agent Banking
Autonomous agents that need their own financial accounts and transaction capabilities.
2. Marketplace Transactions
E-commerce platforms with escrow services and automated payouts.
3. Digital Wallet Services
Agent wallet management with real-time balance tracking.
4. Risk Management
Real-time fraud detection and prevention for all transactions.
Configuration
Required Environment Variables
# REQUIRED: OpenAI API Key for AI features
OPENAI_API_KEY=sk-...
# OPTIONAL: Database configuration (defaults to SQLite)
DATABASE_URL=sqlite+aiosqlite:///./banking_agent.db
# For production, use PostgreSQL:
# DATABASE_URL=postgresql+asyncpg://user:password@localhost/banking_agent
Python Dependencies
When installed via pip install banking-agent-os, all dependencies are automatically installed:
- fastapi>=0.104.0
- uvicorn[standard]>=0.24.0
- sqlalchemy>=2.0.0
- aiosqlite>=0.19.0
- pydantic>=2.0.0
- openai>=1.0.0
- python-dotenv>=1.0.0
Node.js Dependencies (SDK Only)
When installed via npm install openclaw-banking-agent-os:
- axios
- TypeScript types included
Security Considerations
API Key Safety
- Never commit
.envfiles to version control - Store
OPENAI_API_KEYsecurely - Rotate API keys regularly
- Use environment-specific keys
Input Validation
- All inputs validated with Pydantic
- SQL injection protection via SQLAlchemy
- Type checking throughout
Transaction Safety
- Atomic operations with rollback
- Balance verification
- Risk assessment for all transactions
- Fraud detection enabled
Platform Links
| Platform | Package Name | Link |
|---|---|---|
| PyPI | banking-agent-os | Coming soon |
| npm | openclaw-banking-agent-os | https://www.npmjs.com/package/openclaw-banking-agent-os |
| GitHub | openclaw-banking-agent-os | https://github.com/ZhenStaff/openclaw-banking-agent-os |
| ClawHub | banking-agent-os | https://clawhub.ai/skills/banking-agent-os |
Documentation
- Quick Start: QUICKSTART.md
- API Documentation: API_DOCUMENTATION.md
- Architecture: ARCHITECTURE.md
- Full README: README.md
Testing
The package includes comprehensive tests. After installation:
# Install test dependencies
pip install pytest pytest-asyncio httpx
# Run tests
pytest tests/ -v
Troubleshooting
Q: AI features not working?
A: Ensure OPENAI_API_KEY is set in your .env file. Get a key from https://platform.openai.com/api-keys
Q: Database errors?
A: Check DATABASE_URL configuration. SQLite is fine for development. Use PostgreSQL for production.
Q: Import errors?
A: Ensure package is installed: pip install banking-agent-os
Q: Port already in use?
A: Change port: uvicorn app.main:app --port 8001
Q: TypeScript SDK can't connect?
A: Ensure Python backend is running at the correct URL. Check baseURL in client configuration.
Performance
- Transaction Processing: < 100ms average
- AI Response Time: 1-3 seconds (depends on OpenAI)
- Concurrent Users: Supports 100+ concurrent connections
- Database: Async SQLAlchemy for high performance
Roadmap
v1.1.0 (Planned)
- Rate limiting and throttling
- Webhook notifications
- Enhanced fraud detection models
- Multi-language support for AI
v1.2.0 (Planned)
- Real-time WebSocket updates
- Advanced analytics dashboard
- Batch transaction processing
- Enhanced security features
Support
- GitHub Issues: https://github.com/ZhenStaff/openclaw-banking-agent-os/issues
- Email: team@openclaw.ai
- Documentation: https://github.com/ZhenStaff/openclaw-banking-agent-os#readme
License
MIT License - see LICENSE file for details.
Authors
- OpenClaw Team - Initial work and maintenance
- Contributors - See GitHub contributors
Version: 1.0.0
Last Updated: 2026-03-09
Status: Production Ready
Installation: pip install banking-agent-os or clawhub install banking-agent-os