self_sovereign_ai

Crates.ioself_sovereign_ai
lib.rsself_sovereign_ai
version0.1.0-beta.3
created_at2025-04-28 13:34:01.941288+00
updated_at2025-09-05 13:46:23.299446+00
descriptionA library for building self-sovereign AI systems with decentralized networking and cryptography
homepagehttps://ai-robotic-labs.github.io/ai-robotic-labs
repositoryhttps://github.com/AI-Robotic-Labs/Self-Sovereign-AI-SDK
max_upload_size
id1652167
size59,997
Rsync 🦀 (Rsync25)

documentation

https://docs.rs/self_sovereign_ai

README

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
Commit count: 71

cargo fmt