Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
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Updated
Jul 30, 2025 - TypeScript
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
Turn stories, strategies, or systems into insight. Auto-generate Dialectical Wheels (DWs) from any text to reveal blind spots, surface polarities, and trace dynamic paths toward synthesis. DWs are semantic maps that expose tension, transformation, and coherence within a system—whether narrative, ethical, organizational, or technological.
A Python-based logical reasoning system combining rule-based engines with Large Language Models (LLMs) for business automation. Supports deduction and hypothesis testing, partial fact completion, and automated fact retrieval via documents or chat. Features include explainable reasoning, workflow integration, and customizable knowledge bases.
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Integrated cognitive agent system combining hierarchical management, memory systems, and cognitive processing
Build production-grade AI agents visually. An open-source, multi-agent platform with a no-code UI and a modular Python backend.
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💰 An intelligent financial advisor chatbot powered by LLaMA-3, built with LangGraph for structured reasoning, RAG from The Intelligent Investor PDF, and real-time data from Yahoo Finance and DuckDuckGo. The system dynamically orchestrates tools, handles fallbacks, and maintains conversation memory.
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