Website: https://orbital-agent.com/
Linkedin: https://www.linkedin.com/in/rajagarw/
Swarm Intelligence-driven Operating System for Self-Evolving Enterprises
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graph TD
A[API Gateway] --> B[Swarm Orchestrator]
B --> C[Agent Cluster]
C --> D[Blockchain Ledger]
D --> E[Compliance Engine]
E --> F[TEE Sandbox]
F --> G[Federated Learning]
G --> H[Monitoring Stack]
sequenceDiagram
Client->>+API Gateway: REST/gRPC Request
API Gateway->>+Swarm Engine: Task Dispatch
Swarm Engine->>+Agent Node: Workload Execution
Agent Node->>+Blockchain: State Commit
Blockchain->>+Compliance Engine: Policy Validation
Compliance Engine-->>-Client: Auditable Response
# Real-time swarm orchestration example
from orbital.agent_management import SwarmOrchestrator
swarm = SwarmOrchestrator()
swarm.register_agent(agent_id="logistics_01", resource_profile={"cpu": 4, "mem": "16GB"})
optimal_agents = swarm.optimize(task_matrix=emergency_supply_chain_scenario)
# GDPR audit proof generation
from orbital.compliance import ZKPEngine
zkp = ZKPEngine(circuit="gdpr_v1")
audit_proof = zkp.generate_proof(
public_data=transaction_metadata,
private_data=user_pii
)
# Cross-company model training
from orbital.federated import SecureTrainer
trainer = SecureTrainer(tee_enclave="sgx_v2")
model = trainer.collaborative_fit(
participants=[hospital_a, hospital_b],
model=patient_readmission_predictor
)
graph TD
A[Swarm Intelligence Layer] -->|Dynamic Reconfig| B(Agent Networks)
B --> C{Autonomous Optimization}
C -->|Q-Learning| D[Resource Orchestrator]
C -->|Market Signals| E[Workflow Generator]
F[Zero-Knowledge Layer] -->|Cryptographic Proofs| G((Compliance Chain))
G --> H[Regulatory Adapters]
H --> I[GDPR]
H --> J[HIPAA]
H --> K[CCPA]
L[Federated Data Layer] --> M{Encrypted Collaboration}
M -->|Homomorphic Encryption| N[Model Training]
M -->|TEE Sandboxes| O[Data Sharing]
- Intel SGX-enabled hardware (DCAP drivers installed)
- Python 3.8+ with virtualenv
- Docker 20.10+ & Kubernetes 1.23+
- Hyperledger Fabric 2.4
+-------------------+
| Cloud Provider |
| (AWS/Azure/GCP) |
+-------------------+
|
| TLS 1.3
+-------------------+
| Control Plane |
| - Swarm Manager |
| - ZKP Verifier |
+-------------------+
|
+-------------------+
| Confidential |
| Compute Nodes |
| (SGX/TEE) |
+-------------------+
|
+-------------------+
| Edge Gateways |
| - Legacy Adapters|
+-------------------+
```
| Scenario | Metric | Result |
|---|---|---|
| Supply Chain Disruption | Agent Reconfiguration Time | 8.2 ±1.3 sec |
| Cross-Border Compliance | ZKP Proof Generation | 47 ms |
| Federated Model Training | 100GB Data Throughput | 12.4 GB/s |
# 1. Create feature branch
git checkout -b feat/autoscaling-v2
# 2. Run test suite
pytest tests/ --cov=src -v
# 3. Submit PR with:
# - Architecture diagram updates
# - Threat model analysis
# - Performance benchmark comparisons
Apache 2.0 - See LICENSE for details.