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0 pointsFlux1591y ago0 comments

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 read the state of the world if problem hasn't been fully solved (ie start another workflow). Similar in concept from reading from dbs, computing logic, mutating / writing to new table, trigger follow on job from data engineering.

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4 comments · 2 top-level

deoxykev1y ago· 2 in thread

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?

Flux159OP1y ago

Right now I'm doing prompt execution in activities, passing results to other activities.

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.

deoxykev1y ago

Have you hit any non-determinism errors keeping workflow state outside temporal?

skull88888881y ago

Totally agree, I encourage you to give Flow a try! Would be more than happy to help you onboard. Also would love to hear if anything is missing.

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