consensus-mechanisms
Scannednpx machina-cli add skill a5c-ai/babysitter/consensus-mechanisms --openclawConsensus 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 orchestrationagents/strategic-queen/- Weighted voting leadership
Tool Use
Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/methodologies/ruflo/skills/consensus-mechanisms/SKILL.mdView on GitHub Overview
Consensus Mechanisms enables distributed agreement across agent swarms using Raft, Byzantine fault tolerance, Gossip state propagation, and CRDT merging. It selects the appropriate protocol based on fault tolerance requirements, swarm size, and communication topology, to keep state synchronized and merge concurrent updates conflict-free.
How This Skill Works
The system routes coordination to the chosen protocol: Raft for leader-based ordering, Byzantine for adversarial conditions, Gossip for eventual state propagation, and CRDTs for conflict-free merging. Weighted voting informs thresholds, with Queen agents carrying 3x weight and Worker agents 1x, coordinated by the swarm-coordinator and strategic-queen roles.
When to Use It
- When multiple agents have produced independent solutions that need reconciliation
- When Byzantine fault tolerance is required in untrusted or unreliable agent environments
- When you need state synchronization across distributed agent swarms
- When concurrent operations require conflict-free merging (CRDT) across replicas
- When selecting a coordination protocol based on swarm size, topology, and fault model
Quick Start
- Step 1: Define your swarm topology, fault tolerance needs, and required consistency
- Step 2: Select a protocol from Raft, Byzantine, Gossip, or CRDT; configure Queen (3x) and Worker (1x) weights and set a threshold
- Step 3: Run coordination via babysitter: methodologies/ruflo/ruflo-swarm-coordination
Best Practices
- Match fault-tolerance needs to the protocol: use Raft for crash faults, Byzantine for Byzantine faults, and CRDT/Gossip for eventual consistency
- Explicitly configure weights and thresholds: Queen agents 3x weight, Worker agents 1x; set majority, supermajority, or unanimous thresholds
- Wire up orchestration components: swarm-coordinator for protocol orchestration and strategic-queen for weighted leadership
- Test under network partitions to validate liveness and convergence
- Validate CRDT merge behavior to ensure deterministic, conflict-free state across replicas
Example Use Cases
- Federated swarm robotics coordinating tasks with Raft-based leader election for ordered decisions
- Adversarial edge environments requiring Byzantine fault tolerance among untrusted agents
- Large-scale simulations using Gossip for eventual state propagation across distributed swarms
- Collaborative document edits or data stores using CRDTs for conflict-free merging
- IoT sensor networks achieving consistent global state with CRDT or Gossip styles
