dispatching-parallel-agents

Parallel debugging dispatches independent agents to investigate failures concurrently. It groups failures by broken subsystem, assigns each a dedicated agent with clear constraints, and collects per-domain summaries to reduce total debugging time.

To dispatch parallel agents, use the OpenClaw orchestration context to spawn agents concurrently. Provide each agent with a specific scope, clear goal, and constraints to avoid cross-interference, then monitor their progress to collect results.

Use parallel agents when multiple unrelated failures occur across different subsystems that can be addressed without shared state. Sequential debugging is better when failures depend on each other or require cross-domain state.

To prevent cross-interference during parallel orchestration, assign each agent specific scopes and constraints. This structured workflow ensures agents address independent failure domains without shared state and with minimal cross-domain impact.

The best way to integrate results is to collect per-domain summaries from each agent and merge them with minimal cross-domain impact. This structured approach ensures independent failures are resolved and integrated cleanly.

Parallel agent dispatch does not work for failures that share state across subsystems. It applies strictly when multiple unrelated failures occur across different subsystems that can be addressed independently without shared state.