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This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
latest branch in Artificial Intelligence AI software
A modular, self-contained file format for executable AI prompts, logic, and data.
Agentic AI Agents Factory Orchestrator modular, and asynchronous AI agent factory designed for AI-made dynamic workflow orchestration using LLM integration. Build scalable, agentic automation pipelines with robust error handling, plugin-based capabilities, a concurrent operations or outsource workflow building to Operator Agent.
A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — all without cloud dependencies.
A framework for resonance-based decision-making in artificial agents, combining celestial influences, memory feedback, and symbolic emergence.
A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — all without cloud dependencies.
A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.
An AI-powered study assistant using CrewAI that extracts text from PDFs and generates structured summaries and notes. Modular agent-based design with YAML-configured tasks and tools.
Cross-platform semantic module repository for deploying SanPuTor-series AI personality modules with integrated Docsify documentation system.
Cognitive control module for synthetic reasoning. Coordinates memory, perception, and goals.
Insight Platform is a modular agent-driven system for automated AI insight generation, combining LangGraph agents, structured protocols (MCP, A2A, ACP), and local LLMs via Ollama, with Streamlit UI and file-based storage.
A modular, robust fork of LangChain for direct-computational interfaces.
Modular AI/ML framework in MATLAB for classification. PhD project T-DTS v3.0 — tree-based, entropy-driven, RBF-enabled ANN. Based on work by Dr. Rybnik.
A framework for dynamically transforming system structures through constructive adaptation. Enhances flexibility and modular intelligence in AI and automation systems. 構成的適応によりシステム構造を動的に変換する枠組み。AIや自動化システムにおける柔軟性とモジュール型知性を高めます。