Real-World Scenarios
These examples demonstrate how AgentWeave solves real-world problems in specific industries. Each example includes production-grade patterns, compliance considerations, and security best practices.
Industry Examples
Financial Services
Scenario: Trading system with compliance and audit requirements
A high-frequency trading platform where multiple agents process trades, perform risk checks, and maintain audit trails for regulatory compliance. Demonstrates:
- Multi-agent trading workflow
- Compliance as code (OPA policies)
- Immutable audit logs
- Real-time risk assessment
- Regulatory reporting
Key Technologies:
- AgentWeave for secure agent communication
- OPA for compliance policies
- Distributed tracing for audit
- Event sourcing for trade history
Compliance: SOC 2, SEC regulations, audit requirements
Healthcare
Scenario: Patient data processing with HIPAA compliance
A healthcare analytics platform where agents process patient data across organizational boundaries while maintaining HIPAA compliance. Demonstrates:
- Data minimization
- Consent-based access control
- PHI (Protected Health Information) handling
- Cross-organization data sharing (federated)
- Audit logging for HIPAA compliance
- De-identification workflows
Key Technologies:
- SPIFFE federation for hospital networks
- Fine-grained OPA policies for PHI access
- Encryption at rest and in transit
- Comprehensive audit trails
Compliance: HIPAA, HITECH, state privacy laws
IoT/Edge Computing
Scenario: Edge devices communicating securely with cloud
A smart building system where IoT devices (sensors, controllers) run lightweight agents that communicate with cloud agents for analytics and control. Demonstrates:
- Constrained resource environments
- Intermittent connectivity handling
- Edge-to-cloud secure communication
- Device attestation
- OTA updates
- Offline operation with sync
Key Technologies:
- Lightweight SPIFFE agent for edge
- mTLS over constrained networks
- Store-and-forward messaging
- Certificate rotation with limited resources
Use Cases: Smart buildings, industrial IoT, fleet management
Common Patterns Across Examples
Security
All examples demonstrate:
- Zero-trust architecture: Every communication verified
- Least privilege access: OPA policies grant minimum necessary permissions
- Audit everything: Complete audit trail of all operations
- Encryption everywhere: mTLS for transport, encryption at rest
Compliance
Each example shows how to:
- Policy as code: Compliance rules in Rego
- Immutable audit logs: Cannot be tampered with
- Access control: Fine-grained, attribute-based
- Data governance: Who accessed what, when, and why
Production Readiness
All examples include:
- Error handling: Graceful degradation, retries
- Monitoring: Metrics, traces, logs
- Testing: Unit, integration, policy tests
- Documentation: Runbooks, incident response
How to Use These Examples
- Understand the scenario: Read the business problem and requirements
- Review the architecture: See how agents are structured
- Examine the policies: Study OPA policies for compliance
- Run the example: Follow setup instructions
- Adapt for your use case: Modify for your specific needs
Prerequisites
All examples require:
- AgentWeave SDK:
pip install agentweave - SPIRE: For identity
- OPA: For authorization
- Docker: For running examples
Some examples have additional requirements (databases, message queues, etc.) documented in each example.
Getting Help
- Example-specific questions: Each example has a GitHub Discussions thread
- General AgentWeave questions: Main documentation
- Security concerns: Security guide
- Compliance questions: Consult with your compliance team
Next: Start with an example that matches your industry, or review all three to see different patterns.