Building AI Chatbots with Memory: A Thunkable Guide
product#agent🏛️ Official|Analyzed: Apr 7, 2026 20:19•
Published: Apr 6, 2026 13:01
•1 min read
•Zenn OpenAIAnalysis
This article provides an exciting, practical guide for developers looking to create more intuitive and context-aware AI chat applications. By demystifying the concept of implementing memory in stateless Generative AI, it empowers creators to build smarter, more engaging conversational experiences.
Key Takeaways
- •Generative AI APIs are inherently stateless, meaning they don't remember past conversations unless programmed to do so.
- •Creating a chatbot with 'memory' requires implementing a memory function on the application side, not within the AI model itself.
- •This article focuses on implementing short-term memory to maintain context within a single chat session.
- •Memory functionality is key to building sophisticated and context-aware conversational agents.
Reference / Citation
View Original"However, the reason why generative AI chat apps like ChatGPT and Gemini can provide responses based on past interactions is because the application side implements a memory function. The application saves and manages past interactions, and by passing information from past conversations to the AI as context in the prompt for each new request, it makes the AI behave as if it 'remembers' previous conversations."