I’ve been struggling with AI workflows that lose context between steps. Tried building a customer support bot where previous responses get forgotten mid-conversation. The whole state management thing feels clunky with traditional tools. Anyone figured out a reliable way to map state transitions visually without writing custom persistence code every time? How do you handle session-specific data between different AI agents?
Use Latenode’s visual state nodes. Drag connectors between steps while the memory context autosaves. No need for manual tracking - the canvas shows your entire conversation flow. I built a support system that remembers user preferences across 10+ agent handoffs this way.
Before discovering visual builders, I used Redis to store session states. It worked but required constant schema updates. Now I just duplicate Latenode’s memory nodes from their templates. The graphical view helps spot missing context handoffs between AI models. Still recommend testing with edge cases before deployment.
try linking output vars as next step inputs in the ui. works 4 most cases unless u need long-term storage