consensus-mechanisms

# Consensus Mechanisms ## Overview Implement distributed consensus among agent swarms. Select the appropriate protocol based on fault tolerance requirements, swarm size, and communication topology. ## When to Use - Multiple agents have produced independent solutions needing reconciliation - Byzantine fault tolerance is required (untrusted or unreliable agents) - State synchronization across distributed agent swarms - Conflict-free data merging in concurrent operations ## Protocols | Protocol | Use Case | Fault Tolerance | Complexity | |----------|----------|-----------------|------------| | Raft | Leader-based consensus, ordered log | Crash faults (f < n/2) | Medium | | Byzantine | Untrusted agents, adversarial conditions | Byzantine faults (f < n/3) | High | | Gossip | Eventual consistency, state propagation | Partition tolerant | Low | | CRDT | Conflict-free replicated data types | Always convergent | Low | ## 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`