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EN-B018-033-multiple-agents-interaction-blackboard-consensus

English

[EN-B018-033] Multiple Agents Interaction: Blackboard + Consensus Loop

Overview​

Beyond manager-worker trees, advanced teams are adopting a blackboard model: agents publish evidence to a shared board, then converge through explicit consensus rounds.

Use Case​

  • Specialist agents post findings to a shared “board” object with source links.
  • A coordinator asks dissenting agents for counter-evidence before finalizing.
  • A finalizer agent emits decision + confidence + unresolved risks.

Tools Used​

  • sessions_spawn: specialist swarm (research, risk, execution)
  • sessions_send: consensus prompts and dissent requests
  • sessions_history: board replay and rationale reconstruction
  • cron: periodic coordination drills with scorecards

Trend Signals (2026 Q1)​

  • GitHub shows a visible burst of OpenClaw multi-agent experiment repos updated this week.
  • Discord builders increasingly discuss “debate then decide” loops for reliability.
  • Chinese builders frame this as “黑板协作+共识回合”, especially for research and ops copilots.

Registry ID: EN-033 | Status: Verified | Language: English