DOGEXORG

Scenario Tracks

Distributed agent network

Multiple OpenClaw nodes and specialist agents collaborate across locations and capabilities.

Architecture

Node orchestration + specialist subagents + memory continuity + policy guardrails.

Operators

Core operators plus specialist agent roles and remote nodes.

Delivery

Best fit for a future one-click multi-node stack.

Expected outcomes

What success looks like for this scenario

  • Workloads can be split by capability and trust boundary.
  • Node-level incidents are isolated while global coordination remains intact.
  • Future package templates can map directly to proven scenario slices.

Boundaries

  • Requires baseline node observability and trust policy definitions.
  • Not suitable for unmanaged ad-hoc node joins.

Key risks

  • Policy drift across nodes can create hidden security gaps.
  • Cross-node memory inconsistency can degrade agent decisions.

Minimum smoke checklist

Lowest-cost validation

  1. 1Can verify two nodes are discoverable with explicit capability metadata.
  2. 2Can run one cross-node handoff with traceable evidence.
  3. 3Can detect and flag one simulated node-level failure.

Next actions

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