GenerativeAgentsCN is an open-source Chinese adaptation of the Stanford Generative Agents framework designed to simulate lifelike digital personas. By combining large language models with a long-term memory module, reflection routines, and planner logic, it orchestrates agents that perceive context, recall past interactions, and autonomously decide on next actions. The toolkit provides ready-to-run Jupyter notebooks, modular Python components, and comprehensive Chinese documentation to walk users through setting up environments, defining agent characteristics, and customizing memory parameters. Use it to explore AI-driven NPC behavior, prototype customer service bots, or conduct academic research on agent cognition. With flexible APIs, developers can extend memory algorithms, integrate custom LLMs, and visualize agent interactions in real time.

Tess AI, a product by Pareto, provides a consolidated platform to access over 200 AIs with a single subscription, including popular models like ChatGPT, Claude, and Runway. It includes AI University, offering a comprehensive Generative AI course to elevate users from beginner to advanced levels. Tess AI is designed to streamline the adoption of AI in various business processes, helping companies to create, share, and grow with customized AI solutions for marketing, sales, customer service, and content creation.