Hyperspace

Hyperspace provides a decentralized peer‑to‑peer network that lets autonomous AI agents operate without a central server. Users can launch an agent from a web browser or command‑line interface, where the agent connects to the broader network to request or provide inference services. The platform tracks participation with a point system, rewarding nodes that contribute computational resources or data for distributed machine‑learning research.

The system is aimed at developers and researchers who need a scalable, fault‑tolerant environment for deploying AI agents that can communicate and collaborate across many independent nodes. By leveraging the network’s peer‑to‑peer architecture, agents can discover each other, share workloads, and maintain operation even when individual nodes go offline.

What distinguishes this project is its focus on a fully decentralized model for AI inference and research contribution, allowing participants to earn points for providing services directly from their browsers or CLI tools, rather than relying on centralized cloud providers.