The open-source neuro-symbolic AI agent framework.
A modular toolkit for designing, analyzing, and validating hybrid AI systems using Boxology visual patterns.
A hybrid AI honeypot for monitoring large scale web attacks
A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.
Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-augmented generation (RAG) creates AI systems that can reason, cite, and explain their answers with insights learned from building a real Graph-Powered RAG Engine.
A Hybrid AI Agent for Quantitative Football Prediction Analysis
GA + LLM hybrid framework for structured text generation and task optimization.
SymRAG adaptively routes queries through neuro-symbolic, neural, or hybrid paths based on complexity and system load, ensuring efficient and accurate RAG for diverse QA tasks.
ECHIDNA — Extensible Cognitive Hybrid Intelligence for Deductive Neural Assistance. Neurosymbolic theorem-prover orchestrator: 12 core provers, 105 backend integrations (141 ProverKind variants; see docs/PROVER_COUNT.adoc), trust pipeline.
A hybrid AI assistant framework linking structural workflow engines and reasoning LLM agents through LangGraph-powered session control and task switching. 混合 AI 助手框架，通过 LangGraph 驱动的会话控制与任务切换，连接结构化工作流引擎与推理型大模型智能体。
Execution-governance layer for hybrid AI systems: route requests across local, private, and public models safely, cost-effectively, and auditably.
3-Tier hybrid AI router that orchestrates FunctionGemma-270M on-device and Gemini 2.5 Flash Lite in the cloud for 99% function-calling accuracy at 548ms avg latency. Built at the Cactus × Google DeepMind Hackathon.
Multi-AI Agent Energy Management System with HILS simulation, Hybrid AI (ML+LLM), and MCP Runtime - Real-time visualization demo for smart grid optimization
Advanced Hybrid AI expert system for NASDAQ & Oil (WTI) ETF trading. Merges Quantitative ML, LLMs (Gemma 4, Gemini free or not), TimesFM 3, Visual Chart Analysis, and EIA Fundamentals for high-accuracy signals. Features dual-ticker strategy and Trading 212 execution.
Local UI-grounding specialist for hybrid AI agents. Qwen3-VL-2B LoRA. Screenshot + text target → strict JSON bbox. Drop-in for Claude Code, Codex, browser-use. Cuts GPT-4V cost & latency.
Hybrid Edge-Cloud Vision-Language System (VLM) for interactive semantic grounding and robotics perception. Powered by PaliGemma 2 and Gemini 3.0.
Turiya is a Self-Evolving Neuro-Symbolic AI that runs entirely on CPU. It learns autonomously from the web, builds a hybrid vector + logic knowledge base, performs reasoning using symbolic and neural methods, and evolves its world model through sleep-like consolidation cycles. A fully local, event-driven cognitive architecture.
Infrastructure substrate for AoA and ToS: modular, rootless, local-first runtime, deployment, storage, and lifecycle services for self-hosted AI systems.
Hardware-adaptive local LLM & cloud cascading gateway. Sub-5ms intelligent routing, 3-token lookahead failover, asymmetric verification, 1-click IDE config, and MCP for $0 token cost.
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