Earlier quoted context omitted.
I'm working on building out an AI agent right now - looking through autogen, langgraph and other current frameworks along with just building my own logic on top of a workflow orchestrator. The ReAct paradigm for agents makes me think of standard workflows because they're not that different conceptually: Read the state of the world, plan / "reason" based on user intent, perform actions that mutate, then go back and re…
Hey, I’m building agents on top of temporal as well. One of the main limitations is child workflows can not spawn other child workflows. Are you doing an activity for every prompt execution and passing those through other activities? Or something more framework-y?
Workflows currently only started after human events, but going to move towards additional workflows started through an activity soon - I'm keeping the state of the world independent of the execution engine so each workflow will read the new state.