Repository navigation
distributed-ai
- Website
- Wikipedia
prima.cpp: Speeding up 70B-scale LLM inference on low-resource everyday home clusters
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
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.
Vô Tranh Grok 3 Omniverse Edition V17 – Boundless Thought
Project Agora: MVP of the Concordia framework. An ethical, symbiotic AI designed to foster and protect human flourishing.
Autonomous agents with dynamic orchestration enabling real-time R&D, coding & API automation via decentralized collaboration.
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.
Clinical Decision Support System - ML-powered healthcare intelligence platform with 78 specialized models
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。
My personal repository for the SMARTER course Distributed AI and Multi-Agent Systems at Örebro University.
Novel blockchain consensus mechanism replacing energy-intensive mining with productive federated learning. Miners collaborate to train AI models, with winners selected through democratic voting.