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genpark-raft-distributed-consensus-state-machine-skill

agent
Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Raft distributed consensus state machine with leader election, log replication, and deterministic commit index synchronization across agent swarms.

README.md

genpark-raft-distributed-consensus-state-machine-skill

GitHub stars
License: MIT
Python 3.10+
Zero Dependencies
Model Context Protocol

Autonomous Agent Raft Consensus State Machine with Leader Election, Heartbeats & Log Replication

Part of the GenPark Autonomous Distributed Consensus & Swarm Causality Architecture.

Architecture Overview

graph TD
    A[Raft Cluster Nodes] --> B{Role: Follower / Candidate / Leader}
    B -->|Election Timeout| C[Candidate: RequestVote RPC Quorum]
    C -->|Majority Votes Granted| D[Elected Leader]
    C -->|Split Vote| B
    D --> E[Client Command AppendEntries RPC]
    E --> F[Followers Replicate Log Entry]
    F --> G[Quorum Acknowledgment]
    G --> H[Leader Commits & Applies to State Machine]
    H --> I[Consistent Distributed Agent Replicated Log]

Features

  • Pure Python Standard Library: Zero external dependencies.
  • Production-Grade Design: Fault tolerance, type annotations, edge case handling.
  • MCP Server Ready: Built-in stdio Model Context Protocol (MCP) server for Claude / Cursor / Agent tool calling.
  • Benchmark Validated: 100% verified test coverage in isolated sandbox environments.

Quickstart

git clone https://github.com/alphaparkinc/genpark-raft-distributed-consensus-state-machine-skill.git
cd genpark-raft-distributed-consensus-state-machine-skill
python example_usage.py

Model Context Protocol (MCP) Usage

python mcp_server.py

License

MIT License. Designed for autonomous agentic workflows.

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