Decentralization¶
This document outlines process of progressive decentralization of near.ai
capabilities.
near.ai
project approaches decentralization in a progressive way, starting with delivering best researcher, developer and user experience possible and progressively decentralizing and enabling privacy and trust features over time.
Component | Objective |
---|---|
Registry | Decentralized storage with support of private and encrypted items |
Training / Fine-tuning | Leveraging decentralized set of nodes to train models in a provable way |
Agent runner | Using trusted execution environment to run agents privately and |
Agent memory | Using FHE to do retrieval from encrypted storage |
Inter-agent communication | Peer-to-peer protocol that supports identity, payments and dispute resolution |