Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Meal Planner
Learn how to build a meal‑planning system with LangGraph, combining AI agents, chains, and persistent memory to adapt recipes based on user feedback.
Currently trying to make a meal planner for myself by using langgraph and a combination of ai agents and chains. At the time of writing I am able to complete a short onboarding in a chat where the user is asked about preferences, dislikes and allergies etc. Those infos being extracted are then used to generate a meal plan for the next 7 days. I already have some recipes being retrieved but I want to build it further to have some sort of long term memory where you can give feedback why you don’t want a recipe that was planned for you. That information should then be used to get a different recipe as well as commiting that information to long term memory. E.g. there is a recipe with avocado and you don’t like avocoado - you also did not mention it before in the onboarding because you simply didn’t think about it. Saying you want a different recipe because you don’t like avocado.
Compose Email
Loading recent emails...