This repository contains HybridAGI, a cypher-based neuro-symbolic AGI designed for predictable AI behavior through graph-based prompt programming. It targets developers and researchers seeking fine-grained control over AI actions.

How It Works

HybridAGI employs a neuro-symbolic architecture, combining neural networks with symbolic reasoning. Its core innovation lies in "Graph-based Prompt Programming," allowing users to define AI behavior by constructing and manipulating knowledge graphs. This approach aims to provide a more deterministic and understandable AI system compared to purely neural models.

Quick Start & Requirements

This repository is no longer maintained. Its successor is located at SynaLinks/HybridAGI-Next.

Highlighted Details

• Programmable cypher-based neuro-symbolic AGI.
• Graph-based prompt programming for behavior control.
• Aims for predictable and understandable AI behavior.

Maintenance & Community

This repository is no longer maintained.

Licensing & Compatibility

The license is not specified in the provided README snippet.

Limitations & Caveats

This repository is explicitly marked as no longer maintained, indicating potential issues with outdated dependencies, lack of bug fixes, and no future development. Users are directed to a successor repository for a more robust and production-ready solution.