Sketch2Code GPT-4 is an innovative AI tool that utilizes GPT-4 vision technology to transform sketches into high-quality code. By recognizing patterns and elements from hand-drawn designs, it generates clean HTML, CSS, and JavaScript code. This tool is perfect for developers and designers who want to simplify their workflow, reduce coding time, and focus more on creativity instead of tedious coding tasks. The intuitive interface allows for quick uploads of sketches, making it a valuable asset for prototyping and web development.

AIUS is a full-stack AI agent development platform designed to simplify the creation of intelligent virtual assistants and chatbots. It features a visual interface to define conversation flows, integrated memory for persistent context across interactions, and a plugin system to connect external APIs and databases. Agents can be deployed to websites, mobile apps, and popular messaging platforms like Slack and WhatsApp. The platform includes monitoring dashboards, performance metrics, and A/B testing tools, enabling developers to iterate quickly and optimize agent behavior. With support for multiple programming languages (JavaScript, Python) and pre-built templates for common use cases, AIUS accelerates time-to-market for AI-driven customer support, sales assistance, and process automation.

SuperBot is a comprehensive AI Agent framework enabling developers to deploy autonomous, context-aware assistants via Python and the command line. It integrates OpenAI’s chat models with a memory system, function-calling features, and plugin architecture. Agents can execute shell commands, run code, interact with files, perform web searches, and maintain conversation state. SuperBot supports multi-agent orchestration for complex workflows, all configurable through simple Python scripts and CLI commands. Its extensible design allows you to add custom tools, automate tasks, and integrate external APIs to build robust AI-driven applications.

Flocking Multi-Agent offers a modular library for simulating autonomous agents exhibiting swarm intelligence. It encodes core steering behaviors—cohesion, separation and alignment—alongside obstacle avoidance and dynamic target pursuit. Using Python and Pygame for visualization, the framework allows adjustable parameters such as neighbor radius, maximum speed, and turning force. It supports extensibility through custom behavior functions and integration hooks for robotics or game engines. Ideal for experimentation in AI, robotics, game development, and academic research, it demonstrates how simple local rules lead to complex global formations.