consensus-mechanisms

SkillAI & models

Lets your AI coordinate a group of agents so they all agree on shared information. It picks one agent as leader to keep the group organized, and it keeps everyone's view of the work consistent even when some agents go offline or send conflicting updates.

Available today. Use it from your connected AI after setup.

After adding it, group the agents you want to work together so they can start sharing state and electing a leader.

Then ask your AI: use the consensus-mechanisms skill

What your AI can do with it

  • Elect a leader agent to coordinate decisions across the group
  • Keep all agents in agreement on shared state
  • Keep coordinating when some agents fail or send bad information
  • Spread updates across the group as changes happen
  • Merge conflicting edits automatically without losing work

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/ruflo/skills/consensus-mechanisms/SKILL.md and read by ahel’s review.

  • Byzantine fault tolerance is required (untrusted or unreliable agents)
  • State synchronization across distributed agent swarms
  • Conflict-free data merging in concurrent operations

Protocols

ProtocolUse CaseFault ToleranceComplexity
RaftLeader-based consensus, ordered logCrash faults (f < n/2)Medium
ByzantineUntrusted agents, adversarial conditionsByzantine faults (f < n/3)High
GossipEventual consistency, state propagationPartition tolerantLow
CRDTConflict-free replicated data typesAlways convergentLow

Weighted Voting

  • Queen agents: 3x weight multiplier
  • Worker agents: 1x weight
  • Configurable consensus threshold (majority, supermajority, unanimous)

Agents Used

  • agents/swarm-coordinator/ - Protocol orchestration
  • agents/strategic-queen/ - Weighted voting leadership

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
consensus-mechanisms
Source
github.com/a5c-ai/babysitter