Stage 5: Multi-Agent Coordination

Many agents under shared governance—within one institution or across many.

Task

Execute hundreds or thousands of agents simultaneously with shared budgets, quotas, and policies. Enable agents owned by different institutions to cooperate under shared protocols.

Why This Matters

Large-scale discovery requires specialized agents working together. Coordination prevents conflicts, ensures fair resource allocation, and enables cross-institutional collaboration—a core DOE differentiator.

Details

Aspect	Value
CAF Components	Shared state, policy engine, budget ledger
Where it runs	Distributed (single institution or federated)
Scale	O(10²–10³) concurrent agents
Status	Emerging

Architecture

┌─────────────────────────────────────────┐
│          Coordination Layer             │
│                                         │
│ ┌────────────┐ ┌────────┐ ┌──────────┐ │
│ │Shared State│ │ Policy │ │ Budget   │ │
│ └─────┬──────┘ └───┬────┘ └────┬─────┘ │
│       └────────────┴───────────┘       │
│                    │                    │
└────────────────────┼────────────────────┘
                     │
       ┌─────────────┼─────────────┐
       │             │             │
   ┌───▼───┐    ┌────▼────┐   ┌───▼───┐
   │Agent A│    │ Agent B │   │Agent C│
   │(Inst 1)│   │(Inst 1) │   │(Inst 2)│
   └───────┘    └─────────┘   └───────┘

Code

• AgentsExample — Multi-agent demonstration

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