π― Get Started β’ π Swarm Features β’ π Case Studies β’ π§ Contact
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β Trusted by Fortune 500 β’ 84.8% Success Rate β’ 4.4x Faster β
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We don't just automate workflowsβwe orchestrate intelligent swarms that think, learn, and evolve.
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graph LR
A[π§ Hive Mind] --> B[π€ Agent Swarm]
B --> C[β‘ Parallel Execution]
C --> D[π Real-time Analytics]
D --> E[π― Business Outcomes]
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- π Security: Zero-trust architecture, E2E encryption, SOC 2 & ISO 27001
- π Integration: 500+ connectors, REST/GraphQL APIs, Webhooks
- π Analytics: Real-time dashboards, custom metrics, ML insights
- π― Automation: No-code designer, code-first options, hybrid workflows
# 1οΈβ£ Clone & Install
git clone https://github.com/hackingco/workflow.git && cd workflow
npm install
# 2οΈβ£ Configure
cp .env.example .env
# Add your Langfuse keys for observability
# 3οΈβ£ Launch Swarm
npm run swarm:initπ― Try Our CLI
# Start an intelligent swarm
swarm start --name "my-automation" --agents 8 --strategy auto
# Monitor in real-time
swarm monitor --dashboard
# Execute complex workflows
swarm task create --file workflows/enterprise-pipeline.yamlπ Code Example
import { SwarmCoordinator, LangfuseTracer } from '@hackingco/workflow';
// Initialize with full observability
const swarm = new SwarmCoordinator({
name: 'DataPipeline',
agents: 10,
strategy: 'auto',
tracing: new LangfuseTracer()
});
// Execute with collective intelligence
await swarm.execute({
tasks: ['analyze', 'process', 'optimize'],
parallel: true,
consensus: true
});π Full Documentation: docs.hacking.co
Industry: Banking & Insurance
Challenge: Manual loan processing
Solution: Swarm-powered automation
Results:
- 75% faster processing
- $4.2M annual savings
- 99.8% accuracy rate |
Industry: Hospital Network
Challenge: Patient data workflows
Solution: HIPAA-compliant swarms
Results:
- 90% compliance improvement
- 60% staff time saved
- Zero security breaches |
Industry: Global Supply Chain
Challenge: Inventory optimization
Solution: Predictive swarm analytics
Results:
- 40% inventory reduction
- Real-time tracking
- $2.5M cost savings |
Industry: Online Retail
Challenge: Order fulfillment
Solution: Intelligent routing
Results:
- 4x order capacity
- Same-day delivery
- 98% satisfaction rate |
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β CLIENT SUCCESS METRICS β
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β Average ROI β Time to Value β Cost Saved β Efficiency β
β 385% Year 1 β < 30 Days β $2.8M Avg β +420% β
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graph TD
A[π Client Applications] --> B[β‘ API Gateway]
B --> C[π Swarm Orchestrator]
C --> D[π€ Agent Pool]
C --> E[π§ Hive Mind]
D --> F[π Langfuse Tracing]
E --> F
F --> G[πΎ Data Lake]
style C fill:#1E40AF,stroke:#10B981,stroke-width:4px
style E fill:#10B981,stroke:#F59E0B,stroke-width:4px
- Core: TypeScript, Node.js, Event-Driven Architecture
- AI/ML: TensorFlow, GPT-4, Custom Neural Networks
- Observability: Langfuse, Prometheus, Grafana
- Infrastructure: Kubernetes, AWS/Azure/GCP, Terraform
- Security: Zero-Trust, E2E Encryption, HSM
|
Email: admin@hacking.co |
Website: hacking.co |
GitHub: @hackingco |