The swarm pattern uses a central orchestrator that coordinates multiple specialized agents, each optimized for specific tasks. This enables:
graph TB
subgraph Orchestrator["π― ORCHESTRATOR (Claude Opus)"]
O[Main Agent
Task Planning & Coordination]
end
subgraph Coders["π» CODE SPECIALISTS"]
C1[code-bitch
Codex gpt-5.2]
C2[claude-coder
Claude Code]
end
subgraph Researchers["π RESEARCHERS"]
R1[kimi-researcher
Kimi K2.5]
R2[gemini-scout
Gemini 2.0 Flash]
end
subgraph Analysts["π ANALYSTS"]
A1[gpt-analyst
GPT-4o]
A2[llama-analyst
Llama 90B]
end
subgraph Specialists["β‘ SPECIALISTS"]
S1[vision-agent
Gemini Vision]
S2[local-fast
Ollama qwen2.5:3b]
end
O --> C1 & C2
O --> R1 & R2
O --> A1 & A2
O --> S1 & S2
style O fill:#f59e0b,stroke:#d97706,color:#000
style C1 fill:#10b981,stroke:#059669,color:#000
style C2 fill:#10b981,stroke:#059669,color:#000
style R1 fill:#3b82f6,stroke:#2563eb,color:#fff
style R2 fill:#3b82f6,stroke:#2563eb,color:#fff
style A1 fill:#8b5cf6,stroke:#7c3aed,color:#fff
style A2 fill:#8b5cf6,stroke:#7c3aed,color:#fff
style S1 fill:#ec4899,stroke:#db2777,color:#fff
style S2 fill:#ec4899,stroke:#db2777,color:#fff
Multi-agent pharmaceutical asset discovery system running on Dell (100.119.87.108)
π Real-time monitoring available
Full real-time swarm status with agent heartbeats, task queues, and performance metrics