Logic Language for LLMs 🌱🐋 Build World Models 🌍
玄霖超脑 · 无量网络 v4 重构版— 66 模块6通道 AI 认知神经系统 · 装一次，你所有的 AI 工具从此共享一个永远不失忆的大脑。跨会话记忆 · 多 Agent 互通 · 自动代码审查 · 零配置
🚀 Xenon — Agent Harness for AI coding agents. 证据导向架构 + 7种推理范式 + 执行隔离边界 + SWE-bench 40% 通过率（+6.7pp）。可信、可验证、可评测的 AI Agent 运行时。
Adaptive Reasoning Engine for Efficient and Context-Aware Intelligence
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.
Recursive reasoning engine for AI agents and vector databases. Powered by MIT's RLM.
AI-powered multi-agent financial advisor system with LangGraph orchestration across nine specialized agents including retrieval, portfolio analysis, market desk, due diligence, and compliance, routing through a LiteLLM gateway, computing real portfolio risk metrics, and holding risky answers for human review before they reach the user.
🧠 Open-source AI reasoning research platform — persistent reasoning graphs, multi-agent swarms, Graph-of-Thoughts, and MemGPT-style memory. Built with Claude Opus 4.6 by Anthropic. Explore, verify, and fork AI thinking in real-time.
Computational invention engine with Forge: builds software from natural-language requirements, runs it in isolation, and packages only independently validated builds.
AI-Agentic framework for Digital Twins in water management. Integrating LLMs to perform automated system diagnostics, natural language querying of sensor data, and real-time infrastructure optimization.
The smartest way to map, teach, and evolve workflows. Workable uses a distributed reasoning engine to turn intricate personal and professional processes into visually intuitive maps. It eliminates onboarding friction, identifies hidden bottlenecks, and actively proposes optimized workflow alternatives to ensure continuous improvement from day one.
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.
A collection of meticulously crafted system prompts designed to transform general-purpose LLMs into specialized, value-aligned reasoning engines.
Modular artificial cognitive architecture built from scratch, focused on memory, reasoning, knowledge and explainable intelligence.
A knowledge graph memory and reasoning engine for AI agents: event-sourced, bi-temporal, provenance-tracked, with semantic search and a JSON CLI. Built on FalkorDB.
“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.
Protocol-first reasoning engine: turn a decision into a verifiable, replayable record of its accountable state — evidence, objections, provenance, and a fail-closed audit chain.
A cognitive runtime architecture that transforms experience into reusable structure, reducing the reasoning required to operate over time.
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