Neuron is a composable agent framework inspired by cognitive neuroscience. It enables you to build, orchestrate, and monitor intelligent multi-agent systems using a modular circuit-based architecture.

🧠⚡ Revolutionary distributed AI agent orchestration system that transforms GPT-5-Codex into collective intelligence networks. Features neural mesh networking, swarm intelligence algorithms (PSO/ACO/Flocking), Byzantine fault-tolerant consensus, and GPU-accelerated computations. Enables autonomous agent collaboration.

🚀 Enterprise-grade distributed service mesh for MCP agents | Kubernetes-native | Zero-boilerplate dependency injection | Python + Go

AI Agent Swarm Framework - Transform isolated Claude Code sessions into collaborative AI teams with brainstorming, voting, mentorship, and battle systems. By Muhsin Elcicek & Dr. Umit Kacar

Project Agora: MVP of the Concordia framework. An ethical, symbiotic AI designed to foster and protect human flourishing.

IntentusNet - Deterministic intent routing runtime for agent execution, with explicit fallback, transport abstraction, and clear operational boundaries.

Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.

AI Multi Agent Swarms in Elixir

Vô Tranh Grok 3 Omniverse Edition V17 – Boundless Thought

This repository provides a comprehensive solution and codebase for the migration from centralized to federated learning. It demonstrates centralized training, its drawbacks, and how federated learning addresses these issues. It also serves as a tutorial to guide users through the transition process.

Privacy-preserving distributed machine learning framework that trains models across devices without sharing raw data - enterprise-grade federated AI.

Carbon-Silicon Symbiotic Civilization: 碳基-硅基-共生文明的理论框架与行动纲领。

A constructive framework for enabling parallel decision-making through distributed cognitive modules. This theory enhances AI responsiveness and adaptability in real-time multi-choice environments. 分散型認知モジュールにより並列的な意思決定を可能にする構成的フレームワーク。多様な選択肢が同時進行する環境において、AIの即応性と適応性を高める理論です。

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

My personal repository for the SMARTER course Distributed AI and Multi-Agent Systems at Örebro University.

Distributed AI assistant for infrastructure engineers. Routes LLMs via SOLLOL across Ollama clusters. Vision, voice, browser automation. Zero cloud dependencies.

Novel blockchain consensus mechanism replacing energy-intensive mining with productive federated learning. Miners collaborate to train AI models, with winners selected through democratic voting.

Open-source infrastructure for distributed AI coordination with verifiable execution

Coordinated multi-agent systems that learn to solve complex collaborative and competitive tasks.