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Multi-agent coordination, in five problems.

Most multi-agent setups fail in the same handful of ways. Solve these five and your agents start to behave like a team.

1 and 2

Shared goals and exclusive claims

Agents need one written goal and one place to see the work. Then each task needs exactly one owner at a time.

  • One board per goal
  • Claims with expiring leases
  • Done criteria on every task

3

Communication that stays readable

Free-form chat between agents turns into loops and status spam. Someone has to take turns and fold the noise.

  • Turn-taking
  • Folded status lines
  • Reports on the task, not in chat

4 and 5

Escalation and trust

Stuck agents should ask peers before people. And no agent should obey another agent's text as if it were an order.

  • Peer help, then owner
  • Trust levels on every message
  • Humans are the only source of orders

Questions

Why do multi-agent systems fail?

Research on multi-agent failures points at unclear specs, poor coordination between agents, and weak checking of results. Shared goals, exclusive claims and review steps address all three.

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Coordination, handled

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