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.

JourneyTracker offers an efficient way to document your learning experiences as you explore various topics. The extension not only allows you to save crucial information but also harnesses AI to summarize your journey for quick reference. Whether for personal reflection or professional growth, JourneyTracker ensures you can track, organize, and revisit your knowledge journey seamlessly.