DIAMANTS is an open-source platform for distributed intelligence and swarm robotics. It unites ROS2, Python/Mesa, WebGL, and Kubernetes into a scalable stack that enables real-time orchestration of autonomous systems, from collaborative simulation to large-scale drone operations in the field.

A curated list of awesome resources, tools, frameworks, and educational content related to Decentralized Systems. Decentralized systems are designed to operate without central authority, using peer-to-peer networks and distributed consensus mechanisms to enable more resilient, secure, and scalable applications.

A Python-based decentralized delivery simulation that models autonomous agents locating and delivering to customers without a central server, while handling Byzantine agents that may spread false information.

A modular, next-gen system built by Foster + Navi to prototype decentralized innovation. Features structured documentation, multi-agent orchestration, advanced research integration, and a scalable 33-folder architecture. Designed for public transparency, future-proof evolution, and seamless multi-project synergy.

Repository for my Master Thesis on Gossiping Protocols and Information Propagation. Includes mathematical models, simulations, and applications to study decentralized systems and optimize information dissemination.

Blockchain cabang Kriptografi dari Cyber Security

Cloud Computing Specialization offered by University of Illinois Urbana-Champaign

This repository contains Agief Prakasa Nurdien's AoL (Assurance of Learning) project for Software Engineering course (COMP6100001). The project develops Chainrity, a blockchain-based charity platform that leverages Ethereum smart contracts and crypto wallets (MetaMask) to ensure transparent and secure donations (AoL score: 100, grade: A).

Autonomous Urban Systems – A Theoretical and Architectural Framework

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.

🔬 Evaluate aggregation algorithms for federated systems with our comprehensive framework, supporting centralized and decentralized approaches for improved privacy.