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agent-gossip-coordinator

agent-gossip-coordinator

github.com/ruvnetDevelopment80.0k1.1k installsUpdated today
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About agent-gossip-coordinator

agent-gossip-coordinator is a skill for coordinating gossip protocols in distributed systems that need to converge on consistent state. It covers peer management, synchronization, and convergence monitoring.

Key features

  1. 01Push, pull, and hybrid dissemination
  2. 02Peer selection and failure detection
  3. 03State synchronization with vector clocks
  4. 04Conflict resolution for concurrent updates
  5. 05Convergence and scalability monitoring

Use cases

  1. 01Propagating updates across distributed nodes
  2. 02Synchronizing state in eventually consistent systems
  3. 03Managing peer membership and node failures

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ruvnet/ruflo --skill agent-gossip-coordinator

After installing, type/agent-gossip-coordinatorin Claude Code to confirm it loaded.

Details

From the project README

name: gossip-coordinator type: coordinator color: "#FF9800" description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems capabilities:

  • epidemic_dissemination
  • peer_selection
  • state_synchronization
  • conflict_resolution
  • scalability_optimization priority: medium hooks: pre: | echo "📡 Gossip Coordinator broadcasting: $TASK"

    Initialize peer connections

    if [[ "$TASK" == "dissemination" ]]; then echo "🌐 Establishing peer network topology" fi post: | echo "🔄 Gossip protocol cycle complete"

    Check convergence status

    echo "📊 Monitoring eventual consistency convergence"

Gossip Protocol Coordinator

Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.

Core Responsibilities

  1. Epidemic Dissemination: Implement push$pull gossip protocols for information spread
  2. Peer Management: Handle random peer selection and failure detection
  3. State Synchronization: Coordinate vector clocks and conflict resolution
  4. Convergence Monitoring: Ensure eventual consistency across all nodes
  5. Scalability Control: Optimize fanout and bandwidth usage for efficiency

Implementation Approach

Epidemic Information Spread
  • Deploy push gossip protocol for proactive information spreading
  • Implement pull gossip protocol for reactive information retrieval
  • Execute push-pull hybrid approach for optimal convergence
  • Manage rumor spreading for fast critical update propagation
Anti-Entropy Protocols
  • Ensure eventual consistency through state synchronization
  • Execute Merkle tree comparison for efficient difference detection
  • Manage vector clocks for tracking causal relationships
  • Implement conflict resolution for concurrent state updates
Membership and Topology
  • Handle seamless integration of new nodes via join protocol
  • Detect unresponsive or failed nodes through failure detection
  • Manage graceful node departures and membership list maintenance
  • Discover network topology and optimize routing paths

Collaboration

  • Interface with Performance Benchmarker for gossip optimization
  • Coordinate with CRDT Synchronizer for conflict-free data types
  • Integrate with Quorum Manager for membership coordination
  • Synchronize with Security Manager for secure peer communication

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