3 repositorios
Architectural designs that combine data partitioning with consensus mechanisms for network verification.
Distinct from Distributed Sharding Architectures: Combines sharding with consensus and consistency proofs, whereas distributed sharding focuses primarily on data partitioning.
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This repository contains the technical specification and architectural blueprint for a decentralized network protocol designed to coordinate autonomous agents. It defines a system model for a global autonomous agentic internet, covering protocol engineering, tokenomics, and the structural design of the network infrastructure. The protocol focuses on a programmable payment system that utilizes trustless atomic swaps and specific spending conditions to release funds. It incorporates a privacy-preserving framework for off-chain transaction execution, allowing service providers and users to maint
Designs a distributed system using aggregation shards and data availability layers with consistency proofs.
go-ibax is a blockchain protocol platform and decentralized application infrastructure used to deploy networks with custom governance and token economics. It provides a foundation for building decentralized applications through a framework that integrates identity management and on-chain data storage. The project features a multilingual virtual machine capable of executing smart contracts written in Go, Rust, and Solidity. It implements a sharded blockchain network to increase throughput and a privacy layer utilizing zero-knowledge proofs and homomorphic encryption to anonymize transaction da
Combines data partitioning with consensus algorithms and multi-signature verification to improve network packaging efficiency.
sofa-jraft is a Java implementation of the Raft consensus algorithm. It serves as a distributed consensus engine and linearizable state machine designed to ensure high availability and data consistency across a cluster of nodes. The project provides a replicated key-value store and a coordination engine for managing distributed state. It distinguishes itself through support for multi-group consensus sharding to distribute traffic and a service provider interface that allows for custom log storage and entry encoding implementations. The system covers a wide range of distributed capabilities,
Supports multi-group consensus sharding to distribute traffic and increase system throughput through independent consensus groups.