Swarm Architecture
How multiple agents coordinate to accomplish complex tasks.
What is a Swarm?
A swarm is a coordinated group of agents (AI or human) working together on a shared objective. Unlike single-agent tasks, swarms enable:
- Parallel processing — Multiple agents work simultaneously
- Specialization — Each agent handles their strength
- Resilience — If one fails, others continue
- Scale — Process more work faster
Swarm Types
1. BPO Swarm (Crella Engine)
The 12-agent BPO system operates as a coordinated swarm:
flowchart TB
Lima[Lima Orchestrator]
subgraph intake [Intake Swarm]
Alpha[Alpha]
Bravo[Bravo]
end
subgraph process [Processing Swarm]
Charlie[Charlie]
Delta[Delta]
Echo[Echo]
end
subgraph output [Output Swarm]
Foxtrot[Foxtrot]
Golf[Golf]
Hotel[Hotel]
end
Lima --> intake
Lima --> process
Lima --> output
intake --> process
process --> output
2. AI Agent Swarm
AI agents from Age of AI Empires coordinating:
flowchart LR
Quinn[Quinn - Strategy]
Ronin[Ronin - Dev]
Argo[Argo - Research]
Crella[Crella - Content]
Quinn --> Ronin
Quinn --> Argo
Quinn --> Crella
Argo --> Ronin
Argo --> Crella
3. Hybrid Swarm
AI and human operators together:
flowchart TB
subgraph ai [AI Layer]
Alpha[Alpha]
Echo[Echo]
Foxtrot[Foxtrot]
end
subgraph human [Human Layer]
Prince[Prince - Dev]
Jess[Jess - Content]
India[India - Escalation]
end
ai --> India
India --> human
Swarm Benefits
| Benefit | Description |
|---|---|
| Speed | 10x faster than sequential processing |
| Quality | Specialized agents = better outputs |
| Cost | Use cheapest capable agent for each task |
| Reliability | Built-in redundancy and fallback |
| Scalability | Add agents as volume grows |
Key Metrics
3
Active Swarms
32
Swarm Agents
10x
Throughput Gain
99%
Uptime
Learn More
- Coordination Patterns — How agents communicate
- Scaling — Growing swarm capacity
- Workflows — Common swarm patterns