Multi-Agent Debate provides a comprehensive toolkit for orchestrating interactive debates among AI agents. Developers clone the repository and install dependencies, then define roles such as Pro, Con, and Moderator in a configuration file. The framework leverages OpenAI or compatible LLM APIs to generate structured debate rounds: opening statements, rebuttals, and closing remarks. After each round, the Moderator agent synthesizes key points and records logs. Users can adjust debate length, agent personalities, and scoring metrics. The modular design allows integration with custom LLMs, plugin architectures, and visualization tools for analysis. This setup accelerates research into AI-driven argumentation, collaborative decision-making, and automated content generation based on debate outcomes.

ListingBott is an AI-driven tool designed to streamline the process of crafting product listings for e-commerce businesses. It employs natural language processing to generate compelling titles, descriptions, and keywords that adhere to best practices for SEO. By analyzing market trends and consumer preferences, ListingBott helps users create listings that resonate with potential buyers, significantly improving conversion rates and saving time in the listing creation process.

The CLIP Interrogator leverages neural networks to analyze images and produce descriptive text prompts. By combining OpenAI's CLIP with Salesforce’s BLIP, it optimizes text prompts to closely match the content of the given image. This tool is especially useful for creators and developers who need precise and contextually relevant text prompts for their projects, including artwork generation, content creation, and AI-driven analyses.