DND LLM Game leverages large language models to serve as an AI Dungeon Master, dynamically crafting narrative descriptions, quests, and encounters in response to player prompts. It integrates with OpenAI's GPT API and supports customization of adventure settings, difficulty levels, and NPC personalities. As players describe actions or ask questions in the chat interface, the AI generates vivid scene details, dialogues, and branching story paths on the fly. Developers and game masters can configure the engine via Python scripts, adjust model parameters, and extend the framework to include custom modules, making it a flexible tool for solo RPG sessions or AI-assisted tabletop campaigns.

OpenMAS is designed to facilitate the development and evaluation of decentralized AI agents and multi-agent coordination strategies. It features a modular architecture that allows users to define custom agent behaviors, dynamic environment models, and inter-agent messaging protocols. The framework supports physics-based simulation, event-driven execution, and plugin integration for AI algorithms. Users can configure scenarios via YAML or Python, visualize agent interactions, and collect performance metrics through built-in analytics tools. OpenMAS streamlines prototyping in research areas such as swarm intelligence, cooperative robotics, and distributed decision-making.

Koxy is a cutting-edge AI-powered serverless low-code platform that empowers users to build, deploy, and scale backend tasks within minutes without requiring any coding expertise. The platform features pre-built nodes, custom scripting capabilities in TypeScript and Python, and the ability to generate unique nodes via AI from voice or text instructions. With Koxy, users can configure projects to run on custom containers with dedicated resources, ensuring optimal performance and scalability. Additional features include real-time database updates, built-in databases, unlimited cloud storage, and auto-generated documentation for APIs, nodes, and workflows.