Multi-Agent SEO Blog Generator is a Python-based framework that coordinates specialized AI agents to produce SEO-optimized blog posts. It begins with keyword analysis, using an SEO agent to discover high-impact terms. Next, an outline agent structures the post, crafting headings and subtopics. A content agent then writes engaging, natural-sounding paragraphs. Finally, an optimization agent fine-tunes keywords, meta descriptions, and internal linking suggestions. Developers can customize prompt templates, adjust agent roles, and integrate with OpenAI’s API keys. This modular architecture enables automated, end-to-end blog development, ensuring consistent, SEO-friendly, and high-quality content at scale.

MultiAgentPuzzleSolver provides a modular environment where independent AI agents work together to solve puzzles such as sliding tiles, Rubik’s Cube, and logic grids. Agents share state information, negotiate subtask assignments, and apply diverse heuristics to explore the solution space more effectively than single-agent approaches. Developers can plug in new agent behaviors, customize communication protocols, and add novel puzzle definitions. The framework includes tools for real-time visualization of agent interactions, performance metrics collection, and experiment scripting. It supports Python 3.8+, standard libraries, and popular ML toolkits for seamless integration into research projects.