Next generation API for .NET

Raft Java implementation which is simple and easy to understand.

MIT 6.824 (Distributed Systems) labs in Go

Implementation of RAFT consensus in .NET core

Implementation of RAFT distributed consensus algorithm among TCP Peers on .NET / .NETStandard / .NETCore / dotnet

Solutions to mit 6.824 2018

Gringofts makes it easy to build a replicated, fault-tolerant, high throughput and distributed event-sourced system.

An C++ implementation of RAFT consensus algorithm based on jrpc

Straightforward implementation of Raft Consensus

Distributed Message Queue based on Raft

Akka extension for fast recovery from failure with replicating stateful entity on multiple nodes in Cluster

A framework to build fault tolerant apps.

Distributed, fault-tolerant, persistent, auto-increment ID generation service with Raft consensus

Batata is a high-performance, Rust-based service discovery and configuration management platform for cloud-native applications. It provides full API compatibility with Nacos V2/V3 and Consul, serving as a production-ready drop-in replacement

基于Raft一致性协议的分布式存储系统，参考阿里巴巴SOFAJRaft并使用Java从零实现。Distributed storage system based on Raft consistency protocol, referencing Alibaba SOFAJRaft and implemented from scratch using Java

Simple implementation of raft based consensus algorithm used in distributed systems. This application is built for demonstration purpose and can be extended by other users to make more sophisticated system. This application is completely written using Golang and addon packages

Raft protocol implementation as part of "Distributed databases" course in UCU

Experimental Convex backend fork aiming to scale Convex horizontally while preserving its core semantics: reactive subscriptions, serializable transactions, and consistent snapshots.

RAFT implementation in Java

AI agent pipeline orchestration for Claude Code. Deploy specialized agents in coordinated pipelines with self-learning capabilities, mesh coordination, Raft consensus, CRDT knowledge graphs, and pipeline debugging. 15 production-grade skills with reasoning protocols, 20+ agent types, 15 ready-to-run templates. Zero infrastructure.