Open Source PHP Agentic AI Tools

Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach. Web: https://84.237.20.67/RFFI/Main.php

Bottwi is an artificial intelligent bot for the world awarded social network: Twitter.

The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules.

A simple intelligent editor.

Iris is an interface for monitoring multiple pages and RSS files for changes. You can affect keywords or regexp to each web-page to receive mail alert. Version 6.6 is a web based application. Since version 7.2 it's a Perl-gtk application

LinkMesh is an AI-driven WordPress plugin designed to streamline internal linking strategies. The tool helps users identify and fix orphan pages while providing semantic link suggestions that can be approved with a single click. By automating the discovery of relevant internal connections, LinkMesh assists in improving site structure and search engine visibility. Unlike traditional auto-linking tools, LinkMesh analyzes your existing content to identify relevant internal linking opportunities and build a stronger internal link structure for SEO. AI identifies semantically relevant connections, while the site owner remains in control of the final link placement. LinkMesh goes beyond simple keyword-based auto-linking by combining semantic SEO, keyword intelligence, internal PageRank analysis, and site-wide internal link management in one WordPress workflow. Documentation: https://linkmesh.co/documentation.html https://wordpress.org/plugins/ailinkmaster-internal-auto-manager/

Photios attempts to aggregate, normalize, analyze, and present system log data in an accessible, searchable, and sortable fashion.

An AIML Interpreter written in PHP with MySQL. Have your own chatbot on your website, the chat engine is writen in PHP, with the AIML initially parsed into a MySQL database. If you would like a demo or more info please visit http://www.program-o.com THIS PROJECT HAS NOW BEEN MOVED TO https://github.com/Program-O/Program-O

A software package for evolving neural networks on several e-puck robots (www.e-puck.org, www.glowbots.com). The intention is to let the e-pucks evolve communication in cooperation with human beings.

This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. Made for LINUX. GNU General Public License version 3.0 (GPLv3)

opc-methodology is a structured framework for designing, organizing, and executing AI-driven workflows using prompt-based systems. It focuses on breaking down complex AI tasks into clear stages that improve reliability, reproducibility, and clarity when working with language models. The methodology emphasizes defining objectives, processes, and constraints explicitly, ensuring that AI outputs are guided by structured reasoning rather than vague prompts. It is particularly useful for building consistent workflows in areas such as content generation, automation, and decision support. The framework promotes modular thinking, allowing users to reuse and refine components across different tasks. It also encourages iterative refinement, helping users improve prompt performance through systematic adjustments. Overall, OPC Methodology provides a practical approach to prompt engineering that prioritizes clarity, structure, and repeatability.