Logic Language for LLMs 🌱🐋🌍 Build Neuro-Symbolic AI for Learning and Reasoning

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.

Open WebUI Logic Tree Multi-Model LLM Project - Advanced AI reasoning with Sakana AI's AB-MCTS and sophisticated multi-model collaboration

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.

A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.

Recursive reasoning engine for AI agents and vector databases. Powered by MIT's RLM.

Enterprise AI platform built on the Universal Knowledge Graph (UKG), featuring a 17-Axis Knowledge Framework, 10-Layer Truth Engine, multi-agent orchestration, GraphRAG, MCP integration, explainable reasoning, governance, compliance, and end-to-end audit traceability.

“Mycelium” -- An Experimental AI reasoning framework exploring modular cognition, adaptive memory, self-correction, and hybrid symbolic-neural architectures for more dynamic and reliable intelligent systems.

Integrated cognitive agent system combining hierarchical management, memory systems, and cognitive processing

Modular artificial cognitive architecture built from scratch, focused on memory, reasoning, knowledge and explainable intelligence.

The Open-Source Agentic UI Framework for FastAPI & Python. Build production-grade multi-agent systems visually with persistent memory, GraphRAG, and human-in-the-loop control.

Brain-inspired AI reasoning engine — local LLM swarms on consumer hardware. Django + Celery + Ollama. MIT licensed.

Neuro-Symbolic Adaptive Intelligence Framework research prototype

A stateless AI reasoning microservice for the CareerScoper platform. It evaluates candidate-to-job fit, calculates objective readiness scores, and generates explainable reasoning traces using Google Gemini. Built with FastAPI and pydantic-ai, it operates as a high-performance, pure inference engine with zero database dependencies.

Personal Intelligence Operating System built around memory, knowledge, reasoning, and continuous understanding.

Local LLM + RAG knowledge assistant with structured ingestion, typed metadata, and reproducible indexing (Python).

Active development branch of the G2 Researcher — patched, debugged, and upgraded baseline with improved stability, logging, and dry-run support. Main workspace for ongoing evolution.

Clawra Engine: 让每个AI都有自我感受 — 自我感知 × 自主进化 × 跨实例连续性

Multi-agent reasoning system with loop awareness, human-in-the-loop arbitration, and long-term reasoning memory.

Arbiter — Deterministic reasoning and safety-policy engine for Zephyr RTOS. ARB model compiler, fixed-point compute engine, and safety evidence toolkit.