Welcome to CLE-Net’s documentation!

CLE-Net is an experimental decentralized architecture for autonomous cognitive agents that extract, preserve, and evolve symbolic laws from human interaction — independent of any single machine, model, or operator.

Intelligence is not an answer. Intelligence is continuity of understanding over time.

Contents:

• Getting Started
• Glossary
  • A
  • B
  • C
  • D
  • E
  • G
  • I
  • K
  • L
  • M
  • N
  • P
  • R
  • S
  • T
  • V
  • W
  • Related Documents
• Architecture Documentation
  • System Overview
  • Agent Architecture
  • Proof of Cognition (PoC) Consensus Model
  • Threat Model
• Cosmos SDK Integration
  • CLE-Net Cosmos SDK Architecture
  • CLE-Net Validator Roles
  • CLE-Net Migration Path
• Protocol Documentation
  • CLE-Net Protocol Specification: Message Formats
  • CLE-Net P2P Network Layer Design
• Whitepaper
  • Abstract
  • 1. Introduction
  • Cognitive Contribution Score (CCS)
  • Law Conflict Resolution Algorithm
  • CLE-Net: Decentralized Cognitive Agent Network

Quick Start

Installation:

pip install cle-net

Or from source:

git clone https://github.com/Abdelrahman-sadek/CLE-Net.git
cd CLE-Net
pip install -r requirements.txt
pip install -e .

Features

• Cognitive Discovery: Discovers implicit rules from human interaction

• Decentralized: No single point of control or failure

• Proof of Cognition: Novel consensus through independent discovery

• Cosmos SDK: Production-ready blockchain integration

Indices and tables

• Index

• Module Index

• Search Page

API Reference

For detailed API documentation, see the Architecture Documentation.

Contributing

Please read our ../CONTRIBUTING for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the ../LICENSE file for details.

Acknowledgments

• Thanks to all contributors who have helped shape CLE-Net

• Built with ❤️ for the future of decentralized AI