#artificial-intelligence #self-sovereign #ai-model #decentralized #dht #llm #api-token #llama #deep-learning #cryptography

self_sovereign_ai

A library for building self-sovereign AI systems with decentralized networking and cryptography

4 releases

Uses new Rust 2024

0.1.0-beta.3 Sep 5, 2025
0.1.0-beta.2 Jun 9, 2025
0.1.0-beta.1 Apr 28, 2025

#1 in #self-sovereign

Download history 94/week @ 2025-08-31 28/week @ 2025-09-07 6/week @ 2025-09-14 7/week @ 2025-09-28 3/week @ 2025-10-05

230 downloads per month

MIT license

18KB
180 lines

Self Sovereign AI SDK 🕸️🤖

crates.io

⚠️Beta Version, use with caution for production

This SDK is still in development

This SDK is for research purposes only

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Overview

The Self Sovereign AI SDK is a powerful toolset designed to empower developers and researchers in the field of artificial intelligence. It provides a comprehensive set of tools and libraries to build, train, and deploy AI models, as well as manage and secure data in a decentralized manner.

Features

  • Decentralized AI Training: Train AI models on a decentralized network of nodes, ensuring privacy and security.
  • Data Management: Securely manage and store data in a decentralized manner, ensuring data privacy and compliance with regulations.
  • AI Model Deployment: Deploy AI models to edge devices or cloud infrastructure, ensuring scalability and performance.
  • AI Model Management: Manage and monitor AI models in a decentralized manner, ensuring model quality and performance.
  • Written in Rust: Built using Rust, a high-performance and secure programming language.
  • Open Source: Open source project, licensed under the MIT license.
  • DHT: Uses a distributed hash table (DHT) to store and retrieve data in a decentralized manner.

Roadmap

  • Customer support
  • AI model management
  • AI model deployment
  • AI model training
  • Robotic support
  • Add ZK-proof enabled reasoning layer
  • Blockchain + Lightning Network action executor
  • Persistent decentralized memory (IPFS / Ceramic / OrbitDB)
  • Multi-agent coordination

Dependencies

~17–30MB
~502K SLoC